diff --git a/.gitguardian.yml b/.gitguardian.yml
new file mode 100644
index 000000000..755388c91
--- /dev/null
+++ b/.gitguardian.yml
@@ -0,0 +1,26 @@
+# .gitguardian.yml
+version: v1
+
+secret-scan:
+  # Ignore specific files
+  excluded-paths:
+    - '.env.template'
+    - '.github/workflows/*.yml'
+    - 'examples/**'
+    - 'tests/**'
+
+  # Ignore specific patterns
+  excluded-detectors:
+    - 'Generic Password'
+    - 'Generic High Entropy Secret'
+
+  # Ignore by commit (if needed)
+  excluded-commits:
+    - '782bbb4'
+
+  # Custom rules for template files
+  paths-ignore:
+    - path: '.env.template'
+      comment: 'Template file with placeholder values'
+    - path: '.github/workflows/search_db_tests.yml'
+      comment: 'Test workflow with test credentials'
\ No newline at end of file
diff --git a/.github/workflows/python_version_tests.yml b/.github/workflows/python_version_tests.yml
index 6a6aec6b8..fa749a864 100644
--- a/.github/workflows/python_version_tests.yml
+++ b/.github/workflows/python_version_tests.yml
@@ -44,7 +44,7 @@ jobs:
     strategy:
       matrix:
         python-version: ${{ fromJSON(inputs.python-versions) }}
-        os: [ubuntu-22.04, macos-13, macos-15, windows-latest]
+        os: [ubuntu-22.04, macos-13, macos-15]
       fail-fast: false
     steps:
       - name: Check out
diff --git a/alembic/env.py b/alembic/env.py
index 60af9c0dd..791e94d01 100644
--- a/alembic/env.py
+++ b/alembic/env.py
@@ -6,7 +6,7 @@ from sqlalchemy.engine import Connection
 from sqlalchemy.ext.asyncio import async_engine_from_config
 from cognee.infrastructure.databases.relational import Base
 from alembic import context
-from cognee.infrastructure.databases.relational import get_relational_engine, get_relational_config
+from cognee.infrastructure.databases.relational import get_relational_engine
 
 # this is the Alembic Config object, which provides
 # access to the values within the .ini file in use.
@@ -86,12 +86,6 @@ def run_migrations_online() -> None:
 
 db_engine = get_relational_engine()
 
-if db_engine.engine.dialect.name == "sqlite":
-    from cognee.infrastructure.files.storage import LocalStorage
-
-    db_config = get_relational_config()
-    LocalStorage.ensure_directory_exists(db_config.db_path)
-
 print("Using database:", db_engine.db_uri)
 
 config.set_section_option(
diff --git a/cognee-mcp/pyproject.toml b/cognee-mcp/pyproject.toml
index 0cd543472..442576dcb 100644
--- a/cognee-mcp/pyproject.toml
+++ b/cognee-mcp/pyproject.toml
@@ -8,10 +8,10 @@ requires-python = ">=3.10"
 dependencies = [
     # For local cognee repo usage remove comment bellow and add absolute path to cognee. Then run `uv sync --reinstall` in the mcp folder on local cognee changes.
     #"cognee[postgres,codegraph,gemini,huggingface,docs,neo4j] @ file:/Users/<username>/Desktop/cognee",
-    "cognee[postgres,codegraph,gemini,huggingface,docs,neo4j]==0.2.0",
-    "fastmcp>=1.0",
-    "mcp==1.5.0",
-    "uv>=0.6.3",
+    "cognee[postgres,codegraph,gemini,huggingface,docs,neo4j]>=0.2.0,<1.0.0",
+    "fastmcp>=1.0,<2.0.0",
+    "mcp>=1.11.0,<2.0.0",
+    "uv>=0.6.3,<1.0.0",
 ]
 
 authors = [
@@ -29,7 +29,7 @@ packages = ["src"]
 
 [dependency-groups]
 dev = [
-    "debugpy>=1.8.12",
+    "debugpy>=1.8.12,<2.0.0",
 ]
 
 [tool.hatch.metadata]
diff --git a/cognee-mcp/uv.lock b/cognee-mcp/uv.lock
index 5e865ef2c..02350ff02 100644
--- a/cognee-mcp/uv.lock
+++ b/cognee-mcp/uv.lock
@@ -1,11 +1,18 @@
 version = 1
-revision = 2
 requires-python = ">=3.10"
 resolution-markers = [
-    "python_full_version >= '3.13'",
-    "python_full_version == '3.12.*'",
-    "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version >= '3.13' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version == '3.12.*' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version == '3.11.*' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version < '3.11' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version >= '3.13' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version == '3.12.*' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version == '3.11.*' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version < '3.11' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version >= '3.13' and sys_platform == 'emscripten'",
+    "python_full_version == '3.12.*' and sys_platform == 'emscripten'",
+    "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
+    "python_full_version < '3.11' and sys_platform == 'emscripten'",
 ]
 
 [[package]]
@@ -21,9 +28,9 @@ dependencies = [
     { name = "python-dateutil" },
     { name = "wrapt" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/9d/25/4b06ea1214ddf020a28df27dc7136ac9dfaf87929d51e6f6044dd350ed67/aiobotocore-2.23.0.tar.gz", hash = "sha256:0333931365a6c7053aee292fe6ef50c74690c4ae06bb019afdf706cb6f2f5e32", size = 115825, upload-time = "2025-06-12T23:46:38.055Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/9d/25/4b06ea1214ddf020a28df27dc7136ac9dfaf87929d51e6f6044dd350ed67/aiobotocore-2.23.0.tar.gz", hash = "sha256:0333931365a6c7053aee292fe6ef50c74690c4ae06bb019afdf706cb6f2f5e32", size = 115825 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/ea/43/ccf9b29669cdb09fd4bfc0a8effeb2973b22a0f3c3be4142d0b485975d11/aiobotocore-2.23.0-py3-none-any.whl", hash = "sha256:8202cebbf147804a083a02bc282fbfda873bfdd0065fd34b64784acb7757b66e", size = 84161, upload-time = "2025-06-12T23:46:36.305Z" },
+    { url = "https://files.pythonhosted.org/packages/ea/43/ccf9b29669cdb09fd4bfc0a8effeb2973b22a0f3c3be4142d0b485975d11/aiobotocore-2.23.0-py3-none-any.whl", hash = "sha256:8202cebbf147804a083a02bc282fbfda873bfdd0065fd34b64784acb7757b66e", size = 84161 },
 ]
 
 [package.optional-dependencies]
@@ -35,23 +42,23 @@ boto3 = [
 name = "aiofiles"
 version = "24.1.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247, upload-time = "2024-06-24T11:02:03.584Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5", size = 15896, upload-time = "2024-06-24T11:02:01.529Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5", size = 15896 },
 ]
 
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265 },
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.12.4"
+version = "3.12.14"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -63,97 +70,98 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/57/77/92b356837fad83cc5709afc0b6e21dce65a413293fed15e6999bafdf36b0/aiohttp-3.12.4.tar.gz", hash = "sha256:d8229b412121160740f5745583c786f3f494d2416fe5f76aabd815da6ab6b193", size = 7781788, upload-time = "2025-05-29T01:36:57.715Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/e6/0b/e39ad954107ebf213a2325038a3e7a506be3d98e1435e1f82086eec4cde2/aiohttp-3.12.14.tar.gz", hash = "sha256:6e06e120e34d93100de448fd941522e11dafa78ef1a893c179901b7d66aa29f2", size = 7822921 }
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-    { url = "https://files.pythonhosted.org/packages/f1/62/a5023b2a2c6a3e9fac4c268a5c7c6fdc6e6e969580d2f11804dea2928140/aiohttp-3.12.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1d3af7a8905c87b585f534e5e33e5ecf1a8264c3531f7436329c11b2e952788a", size = 471251, upload-time = "2025-05-29T01:33:52.189Z" },
-    { url = "https://files.pythonhosted.org/packages/8c/15/a43fb3198aa8d6fe7b864057133699be5d42caa670af9f0288341bd7af30/aiohttp-3.12.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:18dead0d68a236a475fb6464f6fcc5330fc5e9ee4156c5846780a88f8b739d18", size = 459019, upload-time = "2025-05-29T01:33:54.127Z" },
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 [package.metadata.requires-dev]
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+dev = [{ name = "debugpy", specifier = ">=1.8.12,<2.0.0" }]
 
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+sdist = { url = "https://files.pythonhosted.org/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/ad/da/f64669af4cae46f17b90798a827519ce3737d31dbafad65d391e49643dc4/zipp-3.22.0-py3-none-any.whl", hash = "sha256:fe208f65f2aca48b81f9e6fd8cf7b8b32c26375266b009b413d45306b6148343", size = 9796, upload-time = "2025-05-26T14:46:30.775Z" },
+    { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276 },
 ]
diff --git a/cognee-starter-kit/pyproject.toml b/cognee-starter-kit/pyproject.toml
index ba461b1b4..42ae027c7 100644
--- a/cognee-starter-kit/pyproject.toml
+++ b/cognee-starter-kit/pyproject.toml
@@ -7,5 +7,5 @@ readme = "README.md"
 requires-python = ">=3.10, <=3.13"
 
 dependencies = [
-    "cognee>=0.1.38",
+    "cognee>=0.1.38,<1.0.0",
 ]
diff --git a/cognee-starter-kit/src/pipelines/custom-model.py b/cognee-starter-kit/src/pipelines/custom-model.py
index 347758636..d373bfd37 100644
--- a/cognee-starter-kit/src/pipelines/custom-model.py
+++ b/cognee-starter-kit/src/pipelines/custom-model.py
@@ -3,7 +3,6 @@ import asyncio
 import pathlib
 from cognee import config, add, cognify, search, SearchType, prune, visualize_graph
 
-# from cognee.shared.utils import render_graph
 from cognee.low_level import DataPoint
 
 
@@ -50,10 +49,6 @@ async def main():
     # Cognify the text data.
     await cognify(graph_model=ProgrammingLanguage)
 
-    # # Get a graphistry url (Register for a free account at https://www.graphistry.com)
-    # url = await render_graph()
-    # print(f"Graphistry URL: {url}")
-
     # Or use our simple graph preview
     graph_file_path = str(
         pathlib.Path(
diff --git a/cognee-starter-kit/src/pipelines/default.py b/cognee-starter-kit/src/pipelines/default.py
index 4ac4bcbc4..e757ffc3f 100644
--- a/cognee-starter-kit/src/pipelines/default.py
+++ b/cognee-starter-kit/src/pipelines/default.py
@@ -2,7 +2,6 @@ import os
 import asyncio
 import pathlib
 from cognee import config, add, cognify, search, SearchType, prune, visualize_graph
-# from cognee.shared.utils import render_graph
 
 
 async def main():
@@ -30,10 +29,6 @@ async def main():
     # Cognify the text data.
     await cognify()
 
-    # # Get a graphistry url (Register for a free account at https://www.graphistry.com)
-    # url = await render_graph()
-    # print(f"Graphistry URL: {url}")
-
     # Or use our simple graph preview
     graph_file_path = str(
         pathlib.Path(
diff --git a/cognee/api/v1/config/config.py b/cognee/api/v1/config/config.py
index 792d5e200..34e174da0 100644
--- a/cognee/api/v1/config/config.py
+++ b/cognee/api/v1/config/config.py
@@ -9,21 +9,28 @@ from cognee.infrastructure.databases.vector import get_vectordb_config
 from cognee.infrastructure.databases.graph.config import get_graph_config
 from cognee.infrastructure.llm.config import get_llm_config
 from cognee.infrastructure.databases.relational import get_relational_config, get_migration_config
-from cognee.infrastructure.files.storage import LocalStorage
 
 
 class config:
     @staticmethod
     def system_root_directory(system_root_directory: str):
-        databases_directory_path = os.path.join(system_root_directory, "databases")
+        base_config = get_base_config()
+        base_config.system_root_directory = os.path.join(system_root_directory, ".cognee_system")
+
+        databases_directory_path = os.path.join(base_config.system_root_directory, "databases")
 
         relational_config = get_relational_config()
         relational_config.db_path = databases_directory_path
-        LocalStorage.ensure_directory_exists(databases_directory_path)
 
         graph_config = get_graph_config()
         graph_file_name = graph_config.graph_filename
-        graph_config.graph_file_path = os.path.join(databases_directory_path, graph_file_name)
+        # For Kuzu v0.11.0+, use single-file database with .kuzu extension
+        if graph_config.graph_database_provider.lower() == "kuzu":
+            graph_config.graph_file_path = os.path.join(
+                databases_directory_path, f"{graph_file_name}.kuzu"
+            )
+        else:
+            graph_config.graph_file_path = os.path.join(databases_directory_path, graph_file_name)
 
         vector_config = get_vectordb_config()
         if vector_config.vector_db_provider == "lancedb":
@@ -32,7 +39,7 @@ class config:
     @staticmethod
     def data_root_directory(data_root_directory: str):
         base_config = get_base_config()
-        base_config.data_root_directory = data_root_directory
+        base_config.data_root_directory = os.path.join(data_root_directory, ".data_storage")
 
     @staticmethod
     def monitoring_tool(monitoring_tool: object):
diff --git a/cognee/api/v1/delete/delete.py b/cognee/api/v1/delete/delete.py
index b7993b11e..22f09c745 100644
--- a/cognee/api/v1/delete/delete.py
+++ b/cognee/api/v1/delete/delete.py
@@ -1,22 +1,25 @@
-from typing import Union, BinaryIO, List
-from cognee.modules.ingestion import classify
-from cognee.infrastructure.databases.relational import get_relational_engine
-from sqlalchemy import select
-from sqlalchemy.sql import delete as sql_delete
-from cognee.modules.data.models import Data, DatasetData, Dataset
-from cognee.infrastructure.databases.graph import get_graph_engine
-from io import BytesIO
+import os
 import hashlib
 from uuid import UUID
-from cognee.modules.users.models import User
-from cognee.infrastructure.databases.vector import get_vector_engine
+from io import BytesIO
+from sqlalchemy import select
+from typing import Union, BinaryIO, List
+from sqlalchemy.sql import delete as sql_delete
+
 from cognee.infrastructure.engine import DataPoint
+from cognee.infrastructure.files.storage import get_file_storage
+from cognee.infrastructure.databases.graph import get_graph_engine
+from cognee.infrastructure.databases.vector import get_vector_engine
+from cognee.infrastructure.databases.relational import get_relational_engine
+from cognee.modules.ingestion import classify
+from cognee.modules.users.models import User
+from cognee.shared.logging_utils import get_logger
+from cognee.modules.data.models import Data, DatasetData, Dataset
 from cognee.modules.graph.utils.convert_node_to_data_point import get_all_subclasses
 from cognee.modules.users.methods import get_default_user
 from cognee.modules.data.methods import get_authorized_existing_datasets
 from cognee.context_global_variables import set_database_global_context_variables
 from .exceptions import DocumentNotFoundError, DatasetNotFoundError, DocumentSubgraphNotFoundError
-from cognee.shared.logging_utils import get_logger
 
 logger = get_logger()
 
@@ -56,7 +59,14 @@ async def delete(
     # Handle different input types
     if isinstance(data, str):
         if data.startswith("file://") or data.startswith("/"):  # It's a file path
-            with open(data.replace("file://", ""), mode="rb") as file:
+            full_file_path = data.replace("file://", "")
+
+            file_dir = os.path.dirname(full_file_path)
+            file_path = os.path.basename(full_file_path)
+
+            file_storage = get_file_storage(file_dir)
+
+            async with file_storage.open(file_path, mode="rb") as file:
                 classified_data = classify(file)
                 content_hash = classified_data.get_metadata()["content_hash"]
                 return await delete_single_document(content_hash, dataset[0].id, mode)
diff --git a/cognee/api/v1/prune/prune.py b/cognee/api/v1/prune/prune.py
index efee07e21..61438e54d 100644
--- a/cognee/api/v1/prune/prune.py
+++ b/cognee/api/v1/prune/prune.py
@@ -1,14 +1,14 @@
-from cognee.modules.data.deletion import prune_system, prune_data
+from cognee.modules.data.deletion import prune_system as _prune_system, prune_data as _prune_data
 
 
 class prune:
     @staticmethod
     async def prune_data():
-        await prune_data()
+        await _prune_data()
 
     @staticmethod
     async def prune_system(graph=True, vector=True, metadata=False):
-        await prune_system(graph, vector, metadata)
+        await _prune_system(graph, vector, metadata)
 
 
 if __name__ == "__main__":
diff --git a/cognee/base_config.py b/cognee/base_config.py
index 837834273..6806a4bfb 100644
--- a/cognee/base_config.py
+++ b/cognee/base_config.py
@@ -8,6 +8,7 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
 
 class BaseConfig(BaseSettings):
     data_root_directory: str = get_absolute_path(".data_storage")
+    system_root_directory: str = get_absolute_path(".cognee_system")
     monitoring_tool: object = Observer.LANGFUSE
     graphistry_username: Optional[str] = os.getenv("GRAPHISTRY_USERNAME")
     graphistry_password: Optional[str] = os.getenv("GRAPHISTRY_PASSWORD")
diff --git a/cognee/context_global_variables.py b/cognee/context_global_variables.py
index 4105d59a7..c05ed1d21 100644
--- a/cognee/context_global_variables.py
+++ b/cognee/context_global_variables.py
@@ -1,11 +1,12 @@
 import os
-import pathlib
 from contextvars import ContextVar
 from typing import Union
 from uuid import UUID
 
+from cognee.base_config import get_base_config
 from cognee.infrastructure.databases.utils import get_or_create_dataset_database
 from cognee.modules.users.methods import get_user
+from cognee.infrastructure.files.storage.config import file_storage_config
 
 # Note: ContextVar allows us to use different graph db configurations in Cognee
 #       for different async tasks, threads and processes
@@ -32,6 +33,8 @@ async def set_database_global_context_variables(dataset: Union[str, UUID], user_
 
     """
 
+    base_config = get_base_config()
+
     if not os.getenv("ENABLE_BACKEND_ACCESS_CONTROL", "false").lower() == "true":
         return
 
@@ -40,16 +43,16 @@ async def set_database_global_context_variables(dataset: Union[str, UUID], user_
     # To ensure permissions are enforced properly all datasets will have their own databases
     dataset_database = await get_or_create_dataset_database(dataset, user)
 
-    # TODO: Find better location for database files
-    cognee_directory_path = str(
-        pathlib.Path(
-            os.path.join(pathlib.Path(__file__).parent, f".cognee_system/databases/{user.id}")
-        ).resolve()
+    data_root_directory = os.path.join(
+        base_config.data_root_directory, str(user.tenant_id or user.id)
+    )
+    system_directory_path = os.path.join(
+        base_config.system_root_directory, "databases", str(user.id)
     )
 
     # Set vector and graph database configuration based on dataset database information
     vector_config = {
-        "vector_db_url": os.path.join(cognee_directory_path, dataset_database.vector_database_name),
+        "vector_db_url": os.path.join(system_directory_path, dataset_database.vector_database_name),
         "vector_db_key": "",
         "vector_db_provider": "lancedb",
     }
@@ -57,11 +60,16 @@ async def set_database_global_context_variables(dataset: Union[str, UUID], user_
     graph_config = {
         "graph_database_provider": "kuzu",
         "graph_file_path": os.path.join(
-            cognee_directory_path, dataset_database.graph_database_name
+            system_directory_path, f"{dataset_database.graph_database_name}.kuzu"
         ),
     }
 
+    storage_config = {
+        "data_root_directory": data_root_directory,
+    }
+
     # Use ContextVar to use these graph and vector configurations are used
     # in the current async context across Cognee
     graph_db_config.set(graph_config)
     vector_db_config.set(vector_config)
+    file_storage_config.set(storage_config)
diff --git a/cognee/eval_framework/answer_generation/run_question_answering_module.py b/cognee/eval_framework/answer_generation/run_question_answering_module.py
index 1f2e361d5..d0a2ebe1e 100644
--- a/cognee/eval_framework/answer_generation/run_question_answering_module.py
+++ b/cognee/eval_framework/answer_generation/run_question_answering_module.py
@@ -5,7 +5,7 @@ from cognee.eval_framework.answer_generation.answer_generation_executor import (
     AnswerGeneratorExecutor,
     retriever_options,
 )
-from cognee.infrastructure.files.storage import LocalStorage
+from cognee.infrastructure.files.storage import get_file_storage
 from cognee.infrastructure.databases.relational.get_relational_engine import (
     get_relational_engine,
     get_relational_config,
@@ -22,7 +22,7 @@ async def create_and_insert_answers_table(questions_payload):
     relational_engine = get_relational_engine()
 
     if relational_engine.engine.dialect.name == "sqlite":
-        LocalStorage.ensure_directory_exists(relational_config.db_path)
+        await get_file_storage(relational_config.db_path).ensure_directory_exists()
 
     async with relational_engine.engine.begin() as connection:
         if len(AnswersBase.metadata.tables.keys()) > 0:
diff --git a/cognee/eval_framework/corpus_builder/run_corpus_builder.py b/cognee/eval_framework/corpus_builder/run_corpus_builder.py
index b3d8f123c..e0ed7b80f 100644
--- a/cognee/eval_framework/corpus_builder/run_corpus_builder.py
+++ b/cognee/eval_framework/corpus_builder/run_corpus_builder.py
@@ -2,7 +2,7 @@ from cognee.shared.logging_utils import get_logger, ERROR
 import json
 from typing import List, Optional
 
-from cognee.infrastructure.files.storage import LocalStorage
+from cognee.infrastructure.files.storage import get_file_storage
 from cognee.eval_framework.corpus_builder.corpus_builder_executor import CorpusBuilderExecutor
 from cognee.modules.data.models.questions_base import QuestionsBase
 from cognee.modules.data.models.questions_data import Questions
@@ -21,7 +21,7 @@ async def create_and_insert_questions_table(questions_payload):
     relational_engine = get_relational_engine()
 
     if relational_engine.engine.dialect.name == "sqlite":
-        LocalStorage.ensure_directory_exists(relational_config.db_path)
+        await get_file_storage(relational_config.db_path).ensure_directory_exists()
 
     async with relational_engine.engine.begin() as connection:
         if len(QuestionsBase.metadata.tables.keys()) > 0:
diff --git a/cognee/eval_framework/evaluation/run_evaluation_module.py b/cognee/eval_framework/evaluation/run_evaluation_module.py
index 404b03f2f..4c8a12112 100644
--- a/cognee/eval_framework/evaluation/run_evaluation_module.py
+++ b/cognee/eval_framework/evaluation/run_evaluation_module.py
@@ -4,7 +4,7 @@ from typing import List
 from cognee.eval_framework.evaluation.evaluation_executor import EvaluationExecutor
 from cognee.eval_framework.analysis.metrics_calculator import calculate_metrics_statistics
 from cognee.eval_framework.analysis.dashboard_generator import create_dashboard
-from cognee.infrastructure.files.storage import LocalStorage
+from cognee.infrastructure.files.storage import get_file_storage
 from cognee.infrastructure.databases.relational.get_relational_engine import (
     get_relational_engine,
     get_relational_config,
@@ -21,7 +21,7 @@ async def create_and_insert_metrics_table(questions_payload):
     relational_engine = get_relational_engine()
 
     if relational_engine.engine.dialect.name == "sqlite":
-        LocalStorage.ensure_directory_exists(relational_config.db_path)
+        await get_file_storage(relational_config.db_path).ensure_directory_exists()
 
     async with relational_engine.engine.begin() as connection:
         if len(MetricsBase.metadata.tables.keys()) > 0:
diff --git a/cognee/infrastructure/databases/graph/config.py b/cognee/infrastructure/databases/graph/config.py
index 5e4316d3b..7f35fe662 100644
--- a/cognee/infrastructure/databases/graph/config.py
+++ b/cognee/infrastructure/databases/graph/config.py
@@ -5,8 +5,8 @@ from functools import lru_cache
 from pydantic_settings import BaseSettings, SettingsConfigDict
 import pydantic
 from pydantic import Field
+from cognee.base_config import get_base_config
 from cognee.shared.data_models import KnowledgeGraph
-from cognee.root_dir import get_absolute_path
 
 
 class GraphConfig(BaseSettings):
@@ -55,8 +55,14 @@ class GraphConfig(BaseSettings):
             values.graph_filename = f"cognee_graph_{provider}"
         # Set file path based on graph database provider if no file path is provided
         if not values.graph_file_path:
-            base = os.path.join(get_absolute_path(".cognee_system"), "databases")
-            values.graph_file_path = os.path.join(base, values.graph_filename)
+            base_config = get_base_config()
+
+            base = os.path.join(base_config.system_root_directory, "databases")
+            # For Kuzu v0.11.0+, use single-file database with .kuzu extension
+            if provider == "kuzu":
+                values.graph_file_path = os.path.join(base, f"{values.graph_filename}.kuzu")
+            else:
+                values.graph_file_path = os.path.join(base, values.graph_filename)
         return values
 
     def to_dict(self) -> dict:
diff --git a/cognee/infrastructure/databases/graph/kuzu/adapter.py b/cognee/infrastructure/databases/graph/kuzu/adapter.py
index 69447a55c..a8db967c5 100644
--- a/cognee/infrastructure/databases/graph/kuzu/adapter.py
+++ b/cognee/infrastructure/databases/graph/kuzu/adapter.py
@@ -1,20 +1,20 @@
 """Adapter for Kuzu graph database."""
 
-from cognee.infrastructure.databases.exceptions.exceptions import NodesetFilterNotSupportedError
-from cognee.shared.logging_utils import get_logger
-import json
 import os
-import shutil
+import json
 import asyncio
-from typing import Dict, Any, List, Union, Optional, Tuple, Type
-from datetime import datetime, timezone
+import tempfile
 from uuid import UUID
+from kuzu import Connection
+from kuzu.database import Database
+from datetime import datetime, timezone
 from contextlib import asynccontextmanager
 from concurrent.futures import ThreadPoolExecutor
+from typing import Dict, Any, List, Union, Optional, Tuple, Type
 
-import kuzu
-from kuzu.database import Database
-from kuzu import Connection
+from cognee.shared.logging_utils import get_logger
+from cognee.infrastructure.utils.run_sync import run_sync
+from cognee.infrastructure.files.storage import get_file_storage
 from cognee.infrastructure.databases.graph.graph_db_interface import (
     GraphDBInterface,
     record_graph_changes,
@@ -46,9 +46,38 @@ class KuzuAdapter(GraphDBInterface):
     def _initialize_connection(self) -> None:
         """Initialize the Kuzu database connection and schema."""
         try:
-            os.makedirs(self.db_path, exist_ok=True)
+            if "s3://" in self.db_path:
+                with tempfile.NamedTemporaryFile(mode="w", delete=False) as temp_file:
+                    self.temp_graph_file = temp_file.name
+
+                run_sync(self.pull_from_s3())
+
+                self.db = Database(
+                    self.temp_graph_file,
+                    buffer_pool_size=256 * 1024 * 1024,  # 256MB buffer pool
+                    max_db_size=1024 * 1024 * 1024,
+                )
+            else:
+                # Ensure the parent directory exists before creating the database
+                db_dir = os.path.dirname(self.db_path)
+
+                # If db_path is just a filename, db_dir will be empty string
+                # In this case, use the directory containing the db_path or current directory
+                if not db_dir:
+                    # If no directory in path, use the absolute path's directory
+                    abs_path = os.path.abspath(self.db_path)
+                    db_dir = os.path.dirname(abs_path)
+
+                file_storage = get_file_storage(db_dir)
+
+                run_sync(file_storage.ensure_directory_exists())
+
+                self.db = Database(
+                    self.db_path,
+                    buffer_pool_size=256 * 1024 * 1024,  # 256MB buffer pool
+                    max_db_size=1024 * 1024 * 1024,
+                )
 
-            self.db = Database(self.db_path)
             self.db.init_database()
             self.connection = Connection(self.db)
             # Create node table with essential fields and timestamp
@@ -77,6 +106,22 @@ class KuzuAdapter(GraphDBInterface):
             logger.error(f"Failed to initialize Kuzu database: {e}")
             raise e
 
+    async def push_to_s3(self) -> None:
+        if os.getenv("STORAGE_BACKEND", "").lower() == "s3" and hasattr(self, "temp_graph_file"):
+            from cognee.infrastructure.files.storage.S3FileStorage import S3FileStorage
+
+            s3_file_storage = S3FileStorage("")
+            s3_file_storage.s3.put(self.temp_graph_file, self.db_path, recursive=True)
+
+    async def pull_from_s3(self) -> None:
+        from cognee.infrastructure.files.storage.S3FileStorage import S3FileStorage
+
+        s3_file_storage = S3FileStorage("")
+        try:
+            s3_file_storage.s3.get(self.db_path, self.temp_graph_file, recursive=True)
+        except FileNotFoundError:
+            pass
+
     async def query(self, query: str, params: Optional[dict] = None) -> List[Tuple]:
         """
         Execute a Kuzu query asynchronously with automatic reconnection.
@@ -1385,41 +1430,11 @@ class KuzuAdapter(GraphDBInterface):
             "relationship_types": [rel[0] for rel in rel_types],
         }
 
-    async def get_node_labels_string(self) -> str:
-        """
-        Get all node labels as a string.
-
-        This method aggregates all unique node labels from the graph into a single string
-        representation, which can be helpful for overview and debugging purposes.
-
-        Returns:
-        --------
-
-            - str: A string of all distinct node labels, separated by '|'.
-        """
-        labels = await self.query("MATCH (n:Node) RETURN DISTINCT labels(n)")
-        return "|".join(sorted(set([label[0] for label in labels])))
-
-    async def get_relationship_labels_string(self) -> str:
-        """
-        Get all relationship types as a string.
-
-        This method aggregates all unique relationship types from the graph into a single string
-        representation, providing an overview of the relationships defined in the graph.
-
-        Returns:
-        --------
-
-            - str: A string of all distinct relationship types, separated by '|'.
-        """
-        types = await self.query("MATCH ()-[r:EDGE]->() RETURN DISTINCT r.relationship_name")
-        return "|".join(sorted(set([t[0] for t in types])))
-
     async def delete_graph(self) -> None:
         """
-        Delete all data from the graph directory.
+        Delete all data from the graph database.
 
-        This method deletes all nodes and relationships from the graph directory
+        This method deletes all nodes and relationships from the graph database.
         It raises exceptions for failures occurring during deletion processes.
         """
         try:
@@ -1432,8 +1447,13 @@ class KuzuAdapter(GraphDBInterface):
             if self.db:
                 self.db.close()
                 self.db = None
-            if os.path.exists(self.db_path):
-                shutil.rmtree(self.db_path)
+
+            db_dir = os.path.dirname(self.db_path)
+            db_name = os.path.basename(self.db_path)
+            file_storage = get_file_storage(db_dir)
+
+            if await file_storage.file_exists(db_name):
+                await file_storage.remove_all()
                 logger.info(f"Deleted Kuzu database files at {self.db_path}")
 
         except Exception as e:
@@ -1454,9 +1474,15 @@ class KuzuAdapter(GraphDBInterface):
             if self.db:
                 self.db.close()
                 self.db = None
-            if os.path.exists(self.db_path):
-                shutil.rmtree(self.db_path)
+
+            db_dir = os.path.dirname(self.db_path)
+            db_name = os.path.basename(self.db_path)
+            file_storage = get_file_storage(db_dir)
+
+            if await file_storage.file_exists(db_name):
+                await file_storage.remove_all()
                 logger.info(f"Deleted Kuzu database files at {self.db_path}")
+
             # Reinitialize the database
             self._initialize_connection()
             # Verify the database is empty
@@ -1472,61 +1498,6 @@ class KuzuAdapter(GraphDBInterface):
             logger.error(f"Error during database clearing: {e}")
             raise
 
-    async def save_graph_to_file(self, file_path: str) -> None:
-        """
-        Export the Kuzu database to a file.
-
-        This method exports the entire Kuzu graph database to a specified file path, utilizing
-        Kuzu's native export command. Ensure the directory exists prior to attempting the
-        export, and manage related exceptions as they arise.
-
-        Parameters:
-        -----------
-
-            - file_path (str): Path where to export the database.
-        """
-        try:
-            # Ensure directory exists
-            os.makedirs(os.path.dirname(file_path), exist_ok=True)
-
-            # Use Kuzu's native EXPORT command, output is Parquet
-            export_query = f"EXPORT DATABASE '{file_path}'"
-            await self.query(export_query)
-
-            logger.info(f"Graph exported to {file_path}")
-
-        except Exception as e:
-            logger.error(f"Failed to export graph to file: {e}")
-            raise
-
-    async def load_graph_from_file(self, file_path: str) -> None:
-        """
-        Import a Kuzu database from a file.
-
-        This method imports a database from a specified file path, ensuring that the file exists
-        before attempting to import. Errors during the import process are managed accordingly,
-        allowing for smooth operation.
-
-        Parameters:
-        -----------
-
-            - file_path (str): Path to the exported database file.
-        """
-        try:
-            if not os.path.exists(file_path):
-                logger.warning(f"File {file_path} not found")
-                return
-
-            # Use Kuzu's native IMPORT command
-            import_query = f"IMPORT DATABASE '{file_path}'"
-            await self.query(import_query)
-
-            logger.info(f"Graph imported from {file_path}")
-
-        except Exception as e:
-            logger.error(f"Failed to import graph from file: {e}")
-            raise
-
     async def get_document_subgraph(self, content_hash: str):
         """
         Get all nodes that should be deleted when removing a document.
diff --git a/cognee/infrastructure/databases/graph/networkx/adapter.py b/cognee/infrastructure/databases/graph/networkx/adapter.py
index c83d82d8d..8b9d52294 100644
--- a/cognee/infrastructure/databases/graph/networkx/adapter.py
+++ b/cognee/infrastructure/databases/graph/networkx/adapter.py
@@ -1,17 +1,17 @@
 """Adapter for NetworkX graph database."""
 
-from datetime import datetime, timezone
 import os
 import json
 import asyncio
+import numpy as np
+from uuid import UUID
+import networkx as nx
+from datetime import datetime, timezone
+from typing import Dict, Any, List, Union, Type, Tuple
 
 from cognee.infrastructure.databases.exceptions.exceptions import NodesetFilterNotSupportedError
+from cognee.infrastructure.files.storage import get_file_storage
 from cognee.shared.logging_utils import get_logger
-from typing import Dict, Any, List, Union, Type, Tuple
-from uuid import UUID
-import aiofiles
-import aiofiles.os as aiofiles_os
-import networkx as nx
 from cognee.infrastructure.databases.graph.graph_db_interface import (
     GraphDBInterface,
     record_graph_changes,
@@ -19,7 +19,6 @@ from cognee.infrastructure.databases.graph.graph_db_interface import (
 from cognee.infrastructure.engine import DataPoint
 from cognee.infrastructure.engine.utils import parse_id
 from cognee.modules.storage.utils import JSONEncoder
-import numpy as np
 
 logger = get_logger()
 
@@ -551,11 +550,6 @@ class NetworkXAdapter(GraphDBInterface):
         """
         self.graph = nx.MultiDiGraph()
 
-        # Only create directory if file_path contains a directory
-        file_dir = os.path.dirname(file_path)
-        if file_dir and not os.path.exists(file_dir):
-            os.makedirs(file_dir, exist_ok=True)
-
         await self.save_graph_to_file(file_path)
 
     async def save_graph_to_file(self, file_path: str = None) -> None:
@@ -573,9 +567,14 @@ class NetworkXAdapter(GraphDBInterface):
 
         graph_data = nx.readwrite.json_graph.node_link_data(self.graph, edges="links")
 
-        async with aiofiles.open(file_path, "w") as file:
-            json_data = json.dumps(graph_data, cls=JSONEncoder)
-            await file.write(json_data)
+        file_dir_path = os.path.dirname(file_path)
+        file_path = os.path.basename(file_path)
+
+        file_storage = get_file_storage(file_dir_path)
+
+        json_data = json.dumps(graph_data, cls=JSONEncoder)
+
+        await file_storage.store(file_path, json_data, overwrite=True)
 
     async def load_graph_from_file(self, file_path: str = None):
         """
@@ -590,9 +589,14 @@ class NetworkXAdapter(GraphDBInterface):
         if not file_path:
             file_path = self.filename
         try:
-            if os.path.exists(file_path):
-                async with aiofiles.open(file_path, "r") as file:
-                    graph_data = json.loads(await file.read())
+            file_dir_path = os.path.dirname(file_path)
+            file_name = os.path.basename(file_path)
+
+            file_storage = get_file_storage(file_dir_path)
+
+            if await file_storage.file_exists(file_name):
+                async with file_storage.open(file_name, "r") as file:
+                    graph_data = json.loads(file.read())
                     for node in graph_data["nodes"]:
                         try:
                             if not isinstance(node["id"], UUID):
@@ -674,8 +678,12 @@ class NetworkXAdapter(GraphDBInterface):
                 self.filename
             )  # Assuming self.filename is defined elsewhere and holds the default graph file path
         try:
-            if os.path.exists(file_path):
-                await aiofiles_os.remove(file_path)
+            file_dir_path = os.path.dirname(file_path)
+            file_path = os.path.basename(file_path)
+
+            file_storage = get_file_storage(file_dir_path)
+
+            await file_storage.remove(file_path)
 
             self.graph = None
             logger.info("Graph deleted successfully.")
diff --git a/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py b/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py
index b409d4dd0..cfae34605 100644
--- a/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py
+++ b/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py
@@ -1,17 +1,21 @@
 import os
+import asyncio
 from os import path
+import tempfile
 from uuid import UUID
 from typing import Optional
 from typing import AsyncGenerator, List
 from contextlib import asynccontextmanager
-from sqlalchemy import text, select, MetaData, Table, delete, inspect
 from sqlalchemy.orm import joinedload
 from sqlalchemy.exc import NoResultFound
+from sqlalchemy import NullPool, text, select, MetaData, Table, delete, inspect
 from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine, async_sessionmaker
 
-from cognee.shared.logging_utils import get_logger
-from cognee.infrastructure.databases.exceptions import EntityNotFoundError
 from cognee.modules.data.models.Data import Data
+from cognee.shared.logging_utils import get_logger
+from cognee.infrastructure.utils.run_sync import run_sync
+from cognee.infrastructure.databases.exceptions import EntityNotFoundError
+from cognee.infrastructure.files.storage import get_file_storage, get_storage_config
 
 from ..ModelBase import Base
 
@@ -29,11 +33,42 @@ class SQLAlchemyAdapter:
         self.db_path: str = None
         self.db_uri: str = connection_string
 
-        self.engine = create_async_engine(connection_string)
+        if "sqlite" in connection_string:
+            [prefix, db_path] = connection_string.split("///")
+            self.db_path = db_path
+
+            if "s3://" in self.db_path:
+                db_dir_path = path.dirname(self.db_path)
+                file_storage = get_file_storage(db_dir_path)
+
+                run_sync(file_storage.ensure_directory_exists())
+
+                with tempfile.NamedTemporaryFile(mode="w", delete=False) as temp_file:
+                    self.temp_db_file = temp_file.name
+                    connection_string = prefix + "///" + self.temp_db_file
+
+                run_sync(self.pull_from_s3())
+
+        self.engine = create_async_engine(
+            connection_string, poolclass=NullPool if "sqlite" in connection_string else None
+        )
         self.sessionmaker = async_sessionmaker(bind=self.engine, expire_on_commit=False)
 
-        if self.engine.dialect.name == "sqlite":
-            self.db_path = connection_string.split("///")[1]
+    async def push_to_s3(self) -> None:
+        if os.getenv("STORAGE_BACKEND", "").lower() == "s3" and hasattr(self, "temp_db_file"):
+            from cognee.infrastructure.files.storage.S3FileStorage import S3FileStorage
+
+            s3_file_storage = S3FileStorage("")
+            s3_file_storage.s3.put(self.temp_db_file, self.db_path, recursive=True)
+
+    async def pull_from_s3(self) -> None:
+        from cognee.infrastructure.files.storage.S3FileStorage import S3FileStorage
+
+        s3_file_storage = S3FileStorage("")
+        try:
+            s3_file_storage.s3.get(self.db_path, self.temp_db_file, recursive=True)
+        except FileNotFoundError:
+            pass
 
     @asynccontextmanager
     async def get_async_session(self) -> AsyncGenerator[AsyncSession, None]:
@@ -249,13 +284,18 @@ class SQLAlchemyAdapter:
             # Don't delete local file unless this is the only reference to the file in the database
             if len(raw_data_location_entities) == 1:
                 # delete local file only if it's created by cognee
-                from cognee.base_config import get_base_config
+                storage_config = get_storage_config()
 
-                config = get_base_config()
+                if (
+                    storage_config["data_root_directory"]
+                    in raw_data_location_entities[0].raw_data_location
+                ):
+                    file_storage = get_file_storage(storage_config["data_root_directory"])
 
-                if config.data_root_directory in raw_data_location_entities[0].raw_data_location:
-                    if os.path.exists(raw_data_location_entities[0].raw_data_location):
-                        os.remove(raw_data_location_entities[0].raw_data_location)
+                    file_path = os.path.basename(raw_data_location_entities[0].raw_data_location)
+
+                    if await file_storage.file_exists(file_path):
+                        await file_storage.remove(file_path)
                     else:
                         # Report bug as file should exist
                         logger.error("Local file which should exist can't be found.")
@@ -434,11 +474,13 @@ class SQLAlchemyAdapter:
         Create the database if it does not exist, ensuring necessary directories are in place
         for SQLite.
         """
-        if self.engine.dialect.name == "sqlite" and not os.path.exists(self.db_path):
-            from cognee.infrastructure.files.storage import LocalStorage
-
+        if self.engine.dialect.name == "sqlite":
             db_directory = path.dirname(self.db_path)
-            LocalStorage.ensure_directory_exists(db_directory)
+            db_name = path.basename(self.db_path)
+            file_storage = get_file_storage(db_directory)
+
+            if not await file_storage.file_exists(db_name):
+                await file_storage.ensure_directory_exists()
 
         async with self.engine.begin() as connection:
             if len(Base.metadata.tables.keys()) > 0:
@@ -450,13 +492,13 @@ class SQLAlchemyAdapter:
         """
         try:
             if self.engine.dialect.name == "sqlite":
-                from cognee.infrastructure.files.storage import LocalStorage
-
                 await self.engine.dispose(close=True)
+                # Wait for the database connections to close and release the file (Windows)
+                await asyncio.sleep(2)
                 db_directory = path.dirname(self.db_path)
-                LocalStorage.ensure_directory_exists(db_directory)
-                with open(self.db_path, "w") as file:
-                    file.write("")
+                file_path = path.basename(self.db_path)
+                file_storage = get_file_storage(db_directory)
+                await file_storage.remove(file_path)
             else:
                 async with self.engine.begin() as connection:
                     # Create a MetaData instance to load table information
diff --git a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
index badc4c887..020c64eda 100644
--- a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
+++ b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
@@ -1,4 +1,5 @@
 import asyncio
+from os import path
 import lancedb
 from pydantic import BaseModel
 from lancedb.pydantic import LanceModel, Vector
@@ -7,7 +8,7 @@ from typing import Generic, List, Optional, TypeVar, Union, get_args, get_origin
 from cognee.exceptions import InvalidValueError
 from cognee.infrastructure.engine import DataPoint
 from cognee.infrastructure.engine.utils import parse_id
-from cognee.infrastructure.files.storage import LocalStorage
+from cognee.infrastructure.files.storage import get_file_storage
 from cognee.modules.storage.utils import copy_model, get_own_properties
 from cognee.infrastructure.databases.vector.exceptions import CollectionNotFoundError
 
@@ -310,7 +311,9 @@ class LanceDBAdapter(VectorDBInterface):
             await connection.drop_table(collection_name)
 
         if self.url.startswith("/"):
-            LocalStorage.remove_all(self.url)
+            db_dir_path = path.dirname(self.url)
+            db_file_name = path.basename(self.url)
+            await get_file_storage(db_dir_path).remove_all(db_file_name)
 
     def get_data_point_schema(self, model_type: BaseModel):
         related_models_fields = []
diff --git a/cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py b/cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py
index 7af852327..cf2587c3a 100644
--- a/cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py
+++ b/cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py
@@ -1,5 +1,6 @@
 from __future__ import annotations
 import asyncio
+import os
 from uuid import UUID
 from typing import List, Optional
 
@@ -7,6 +8,7 @@ from cognee.shared.logging_utils import get_logger
 from cognee.infrastructure.engine import DataPoint
 from cognee.infrastructure.engine.utils import parse_id
 from cognee.infrastructure.databases.vector.exceptions import CollectionNotFoundError
+from cognee.infrastructure.files.storage import get_file_storage
 
 from ..embeddings.EmbeddingEngine import EmbeddingEngine
 from ..models.ScoredResult import ScoredResult
@@ -74,6 +76,34 @@ class MilvusAdapter(VectorDBInterface):
         """
         from pymilvus import MilvusClient
 
+        # Ensure the parent directory exists for local file-based Milvus databases
+        if self.url and not self.url.startswith(("http://", "https://", "grpc://")):
+            # This is likely a local file path, ensure the directory exists
+            db_dir = os.path.dirname(self.url)
+            if db_dir and not os.path.exists(db_dir):
+                try:
+                    file_storage = get_file_storage(db_dir)
+                    if hasattr(file_storage, "ensure_directory_exists"):
+                        if asyncio.iscoroutinefunction(file_storage.ensure_directory_exists):
+                            # Run async function synchronously in this sync method
+                            loop = asyncio.get_event_loop()
+                            if loop.is_running():
+                                # If we're already in an async context, we can't use run_sync easily
+                                # Create the directory directly as a fallback
+                                os.makedirs(db_dir, exist_ok=True)
+                            else:
+                                loop.run_until_complete(file_storage.ensure_directory_exists())
+                        else:
+                            file_storage.ensure_directory_exists()
+                    else:
+                        # Fallback to os.makedirs if file_storage doesn't have ensure_directory_exists
+                        os.makedirs(db_dir, exist_ok=True)
+                except Exception as e:
+                    logger.warning(
+                        f"Could not create directory {db_dir} using file_storage, falling back to os.makedirs: {e}"
+                    )
+                    os.makedirs(db_dir, exist_ok=True)
+
         if self.api_key:
             client = MilvusClient(uri=self.url, token=self.api_key)
         else:
@@ -343,8 +373,6 @@ class MilvusAdapter(VectorDBInterface):
         """
         from pymilvus import MilvusException, exceptions
 
-        if limit <= 0:
-            return []
         client = self.get_milvus_client()
         if query_text is None and query_vector is None:
             raise ValueError("One of query_text or query_vector must be provided!")
diff --git a/cognee/infrastructure/files/__init__.py b/cognee/infrastructure/files/__init__.py
index 18c488db7..403627a63 100644
--- a/cognee/infrastructure/files/__init__.py
+++ b/cognee/infrastructure/files/__init__.py
@@ -1,3 +1 @@
-from .add_file_to_storage import add_file_to_storage
-from .remove_file_from_storage import remove_file_from_storage
 from .utils.get_file_metadata import get_file_metadata, FileMetadata
diff --git a/cognee/infrastructure/files/add_file_to_storage.py b/cognee/infrastructure/files/add_file_to_storage.py
deleted file mode 100644
index a61fbf843..000000000
--- a/cognee/infrastructure/files/add_file_to_storage.py
+++ /dev/null
@@ -1,22 +0,0 @@
-from typing import BinaryIO
-from cognee.root_dir import get_absolute_path
-from .storage.StorageManager import StorageManager
-from .storage.LocalStorage import LocalStorage
-
-
-async def add_file_to_storage(file_path: str, file: BinaryIO):
-    """
-    Store a file in local storage.
-
-    This function initializes a storage manager and uses it to store the provided file at
-    the specified file path.
-
-    Parameters:
-    -----------
-
-        - file_path (str): The path where the file will be stored.
-        - file (BinaryIO): The file object to be stored, which must be a binary file.
-    """
-    storage_manager = StorageManager(LocalStorage(get_absolute_path("data/files")))
-
-    storage_manager.store(file_path, file)
diff --git a/cognee/infrastructure/files/exceptions.py b/cognee/infrastructure/files/exceptions.py
new file mode 100644
index 000000000..351eaee9c
--- /dev/null
+++ b/cognee/infrastructure/files/exceptions.py
@@ -0,0 +1,13 @@
+from fastapi import status
+
+
+class FileContentHashingError(Exception):
+    """Raised when the file content cannot be hashed."""
+
+    def __init__(
+        self,
+        message: str = "Failed to hash content of the file.",
+        name: str = "FileContentHashingError",
+        status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+    ):
+        super().__init__(message, name, status_code)
diff --git a/cognee/infrastructure/files/remove_file_from_storage.py b/cognee/infrastructure/files/remove_file_from_storage.py
deleted file mode 100644
index c35797bac..000000000
--- a/cognee/infrastructure/files/remove_file_from_storage.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from cognee.root_dir import get_absolute_path
-from .storage.StorageManager import StorageManager
-from .storage.LocalStorage import LocalStorage
-
-
-async def remove_file_from_storage(file_path: str):
-    """
-    Remove a specified file from storage.
-
-    This function initializes a storage manager with a local storage instance and calls the
-    remove method of the storage manager to delete the file identified by the given path.
-    Ensure that the file exists in the specified storage before calling this function to
-    avoid
-    potential errors.
-
-    Parameters:
-    -----------
-
-        - file_path (str): The path of the file to remove from storage.
-    """
-    storage_manager = StorageManager(LocalStorage(get_absolute_path("data/files")))
-
-    storage_manager.remove(file_path)
diff --git a/cognee/infrastructure/files/storage/FileBufferedReader.py b/cognee/infrastructure/files/storage/FileBufferedReader.py
new file mode 100644
index 000000000..4aa02b0bb
--- /dev/null
+++ b/cognee/infrastructure/files/storage/FileBufferedReader.py
@@ -0,0 +1,16 @@
+from io import BufferedReader
+
+
+class FileBufferedReader(BufferedReader):
+    def __init__(self, file_obj, name):
+        super().__init__(file_obj)
+        self._file = file_obj
+        self._name = name
+
+    @property
+    def name(self):
+        return self._name
+
+    def read(self, size: int = -1):
+        data = self._file.read(size)
+        return data
diff --git a/cognee/infrastructure/files/storage/LocalFileStorage.py b/cognee/infrastructure/files/storage/LocalFileStorage.py
new file mode 100644
index 000000000..3b15070d3
--- /dev/null
+++ b/cognee/infrastructure/files/storage/LocalFileStorage.py
@@ -0,0 +1,256 @@
+import os
+import shutil
+from urllib.parse import urlparse
+from contextlib import contextmanager
+from typing import BinaryIO, Optional, Union
+
+from .FileBufferedReader import FileBufferedReader
+from .storage import Storage
+
+
+def get_parsed_path(file_path: str) -> str:
+    # Check if this is actually a URL (has a scheme like file://, http://, etc.)
+    if "://" in file_path:
+        parsed_url = urlparse(file_path)
+
+        # Handle file:// URLs specially
+        if parsed_url.scheme == "file":
+            # On Windows, urlparse handles drive letters correctly
+            # Convert the path component to a proper file path
+            if os.name == "nt":  # Windows
+                # Remove leading slash from Windows paths like /C:/Users/...
+                # but handle UNC paths like //server/share correctly
+                parsed_path = parsed_url.path
+                if parsed_path.startswith("/") and len(parsed_path) > 1 and parsed_path[2] == ":":
+                    # This is a Windows drive path like /C:/Users/...
+                    parsed_path = parsed_path[1:]
+                elif parsed_path.startswith("///"):
+                    # This is a UNC path like ///server/share, convert to //server/share
+                    parsed_path = parsed_path[1:]
+            else:  # Unix-like systems
+                parsed_path = parsed_url.path
+        else:
+            # For non-file URLs, use the path as-is
+            parsed_path = parsed_url.path
+            if (
+                os.name == "nt"
+                and parsed_path.startswith("/")
+                and len(parsed_path) > 1
+                and parsed_path[2] == ":"
+            ):
+                parsed_path = parsed_path[1:]
+
+        # Normalize path separators to ensure consistency
+        return os.path.normpath(parsed_path)
+    else:
+        # This is a regular file path, not a URL - normalize separators
+        return os.path.normpath(file_path)
+
+
+class LocalFileStorage(Storage):
+    """
+    Manage local file storage operations such as storing, retrieving, and managing files on
+    the filesystem.
+    """
+
+    storage_path: Optional[str] = None
+
+    def __init__(self, storage_path: str):
+        self.storage_path = storage_path
+
+    def store(self, file_path: str, data: Union[BinaryIO, str], overwrite: bool = False) -> str:
+        """
+        Store data into a specified file path. The data can be either a string or a binary
+        stream.
+
+        This method ensures that the storage directory exists before attempting to write the
+        data. If the provided data is a stream, it reads from the stream and writes to the file;
+        otherwise, it directly writes the provided data.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The relative path of the file where the data will be stored.
+            - data (Union[BinaryIO, str]): The data to be stored, which can be a string or a
+              binary stream.
+            - overwrite (bool): If True, overwrite the existing file.
+        """
+        parsed_storage_path = get_parsed_path(self.storage_path)
+        full_file_path = os.path.join(parsed_storage_path, file_path)
+        file_dir_path = os.path.dirname(full_file_path)
+
+        self.ensure_directory_exists(file_dir_path)
+
+        if overwrite or not os.path.exists(full_file_path):
+            with open(
+                full_file_path,
+                mode="w" if isinstance(data, str) else "wb",
+                encoding="utf-8" if isinstance(data, str) else None,
+            ) as file:
+                if hasattr(data, "read"):
+                    data.seek(0)
+                    file.write(data.read())
+                else:
+                    file.write(data)
+
+                file.close()
+
+        return "file://" + full_file_path
+
+    @contextmanager
+    def open(self, file_path: str, mode: str = "rb", *args, **kwargs):
+        """
+        Retrieve data from a specified file path, returning the content as bytes.
+
+        This method opens the file in read mode and reads its content. The function expects the
+        file to exist; if it does not, a FileNotFoundError will be raised.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The relative path of the file to retrieve data from.
+            - mode (str): The mode to open the file, with "rb" as the default for reading binary
+              files. (default "rb")
+
+        Returns:
+        --------
+
+            The content of the retrieved file as bytes.
+        """
+        parsed_storage_path = get_parsed_path(self.storage_path)
+
+        full_file_path = os.path.join(parsed_storage_path, file_path)
+
+        # Add debug information for Windows path issues
+        if not os.path.exists(full_file_path):
+            # Try to provide helpful debug information
+            if os.path.exists(parsed_storage_path):
+                available_files = []
+                try:
+                    available_files = os.listdir(parsed_storage_path)
+                except (OSError, PermissionError):
+                    available_files = ["<unable to list directory>"]
+
+                raise FileNotFoundError(
+                    f"File not found: '{full_file_path}'\n"
+                    f"Storage path: '{parsed_storage_path}'\n"
+                    f"Requested file: '{file_path}'\n"
+                    f"Storage path exists: {os.path.exists(parsed_storage_path)}\n"
+                    f"Available files in storage: {available_files[:10]}..."  # Limit to first 10 files
+                )
+            else:
+                raise FileNotFoundError(
+                    f"Storage directory does not exist: '{parsed_storage_path}'\n"
+                    f"Original storage path: '{self.storage_path}'\n"
+                    f"Requested file: '{file_path}'"
+                )
+
+        with open(full_file_path, mode=mode, *args, **kwargs) as file:
+            file = FileBufferedReader(file, name="file://" + full_file_path)
+
+            try:
+                yield file
+            finally:
+                file.close()
+
+    def file_exists(self, file_path: str):
+        """
+        Check if a specified file exists in the storage.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The path of the file to check for existence.
+
+        Returns:
+        --------
+
+            - bool: True if the file exists, otherwise False.
+        """
+        parsed_storage_path = get_parsed_path(self.storage_path)
+
+        return os.path.exists(os.path.join(parsed_storage_path, file_path))
+
+    def ensure_directory_exists(self, directory_path: str = None):
+        """
+        Ensure that the specified directory exists, creating it if necessary.
+
+        If the directory already exists, no action is taken.
+
+        Parameters:
+        -----------
+
+            - directory_path (str): The path of the directory to check or create.
+        """
+        if directory_path is None:
+            directory_path = get_parsed_path(self.storage_path)
+        elif not directory_path or directory_path.strip() == "":
+            # Handle empty string case - use current directory or storage path
+            directory_path = get_parsed_path(self.storage_path) or "."
+
+        if not os.path.exists(directory_path):
+            os.makedirs(directory_path, exist_ok=True)
+
+    def copy_file(self, source_file_path: str, destination_file_path: str):
+        """
+        Copy a file from a source path to a destination path.
+        Files need to be in the same storage.
+
+        Parameters:
+        -----------
+
+            - source_file_path (str): The path of the file to be copied.
+            - destination_file_path (str): The path where the file will be copied to.
+
+        Returns:
+        --------
+
+            - str: The path to the copied file.
+        """
+        parsed_storage_path = get_parsed_path(self.storage_path)
+
+        return shutil.copy2(
+            os.path.join(parsed_storage_path, source_file_path),
+            os.path.join(parsed_storage_path, destination_file_path),
+        )
+
+    def remove(self, file_path: str):
+        """
+        Remove the specified file from the storage if it exists.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The path of the file to be removed.
+        """
+        parsed_storage_path = get_parsed_path(self.storage_path)
+        full_file_path = os.path.join(parsed_storage_path, file_path)
+
+        if os.path.exists(full_file_path):
+            os.remove(full_file_path)
+
+    def remove_all(self, tree_path: str = None):
+        """
+        Remove an entire directory tree at the specified path, including all files and
+        subdirectories.
+
+        If the directory does not exist, no action is taken and no exception is raised.
+
+        If directories don't exist in the storage we ignore it.
+
+        Parameters:
+        -----------
+
+            - tree_path (str): The root path of the directory tree to be removed.
+        """
+        parsed_storage_path = get_parsed_path(self.storage_path)
+
+        if tree_path is None:
+            tree_path = parsed_storage_path
+        else:
+            tree_path = os.path.join(parsed_storage_path, tree_path)
+
+        try:
+            return shutil.rmtree(tree_path)
+        except FileNotFoundError:
+            pass
diff --git a/cognee/infrastructure/files/storage/LocalStorage.py b/cognee/infrastructure/files/storage/LocalStorage.py
deleted file mode 100644
index 007a61082..000000000
--- a/cognee/infrastructure/files/storage/LocalStorage.py
+++ /dev/null
@@ -1,153 +0,0 @@
-import os
-import shutil
-from typing import BinaryIO, Union
-from .StorageManager import Storage
-
-
-class LocalStorage(Storage):
-    """
-    Manage local file storage operations such as storing, retrieving, and managing files on
-    the filesystem.
-    """
-
-    storage_path: str = None
-
-    def __init__(self, storage_path: str):
-        self.storage_path = storage_path
-
-    def store(self, file_path: str, data: Union[BinaryIO, str]):
-        """
-        Store data into a specified file path. The data can be either a string or a binary
-        stream.
-
-        This method ensures that the storage directory exists before attempting to write the
-        data. If the provided data is a stream, it reads from the stream and writes to the file;
-        otherwise, it directly writes the provided data.
-
-        Parameters:
-        -----------
-
-            - file_path (str): The relative path of the file where the data will be stored.
-            - data (Union[BinaryIO, str]): The data to be stored, which can be a string or a
-              binary stream.
-        """
-        full_file_path = self.storage_path + "/" + file_path
-
-        LocalStorage.ensure_directory_exists(self.storage_path)
-
-        with open(
-            full_file_path,
-            mode="w" if isinstance(data, str) else "wb",
-            encoding="utf-8" if isinstance(data, str) else None,
-        ) as f:
-            if hasattr(data, "read"):
-                data.seek(0)
-                f.write(data.read())
-            else:
-                f.write(data)
-
-    def retrieve(self, file_path: str, mode: str = "rb"):
-        """
-        Retrieve data from a specified file path, returning the content as bytes.
-
-        This method opens the file in read mode and reads its content. The function expects the
-        file to exist; if it does not, a FileNotFoundError will be raised.
-
-        Parameters:
-        -----------
-
-            - file_path (str): The relative path of the file to retrieve data from.
-            - mode (str): The mode to open the file, with 'rb' as the default for reading binary
-              files. (default 'rb')
-
-        Returns:
-        --------
-
-            The content of the retrieved file as bytes.
-        """
-        full_file_path = self.storage_path + "/" + file_path
-
-        with open(full_file_path, mode=mode) as f:
-            f.seek(0)
-            return f.read()
-
-    @staticmethod
-    def file_exists(file_path: str):
-        """
-        Check if a specified file exists in the filesystem.
-
-        Parameters:
-        -----------
-
-            - file_path (str): The path of the file to check for existence.
-
-        Returns:
-        --------
-
-            - bool: True if the file exists, otherwise False.
-        """
-        return os.path.exists(file_path)
-
-    @staticmethod
-    def ensure_directory_exists(file_path: str):
-        """
-        Ensure that the specified directory exists, creating it if necessary.
-
-        If the directory already exists, no action is taken.
-
-        Parameters:
-        -----------
-
-            - file_path (str): The path of the directory to check or create.
-        """
-        if not os.path.exists(file_path):
-            os.makedirs(file_path, exist_ok=True)
-
-    @staticmethod
-    def remove(file_path: str):
-        """
-        Remove the specified file from the filesystem if it exists.
-
-        Parameters:
-        -----------
-
-            - file_path (str): The path of the file to be removed.
-        """
-        if os.path.exists(file_path):
-            os.remove(file_path)
-
-    @staticmethod
-    def copy_file(source_file_path: str, destination_file_path: str):
-        """
-        Copy a file from a source path to a destination path.
-
-        Parameters:
-        -----------
-
-            - source_file_path (str): The path of the file to be copied.
-            - destination_file_path (str): The path where the file will be copied to.
-
-        Returns:
-        --------
-
-            - str: The path to the copied file.
-        """
-        return shutil.copy2(source_file_path, destination_file_path)
-
-    @staticmethod
-    def remove_all(tree_path: str):
-        """
-        Remove an entire directory tree at the specified path, including all files and
-        subdirectories.
-
-        If the directory does not exist, no action is taken and no exception is raised.
-
-        Parameters:
-        -----------
-
-            - tree_path (str): The root path of the directory tree to be removed.
-        """
-        try:
-            shutil.rmtree(tree_path)
-        except FileNotFoundError:
-            pass
diff --git a/cognee/infrastructure/files/storage/S3FileStorage.py b/cognee/infrastructure/files/storage/S3FileStorage.py
new file mode 100644
index 000000000..72e1d5829
--- /dev/null
+++ b/cognee/infrastructure/files/storage/S3FileStorage.py
@@ -0,0 +1,215 @@
+import os
+import s3fs
+from typing import BinaryIO, Union
+from contextlib import asynccontextmanager
+
+from cognee.api.v1.add.config import get_s3_config
+from cognee.infrastructure.utils.run_async import run_async
+from cognee.infrastructure.files.storage.FileBufferedReader import FileBufferedReader
+from .storage import Storage
+
+
+class S3FileStorage(Storage):
+    """
+    Manage local file storage operations such as storing, retrieving, and managing files on
+    the filesystem.
+    """
+
+    storage_path: str
+    s3: s3fs.S3FileSystem
+
+    def __init__(self, storage_path: str):
+        self.storage_path = storage_path
+        s3_config = get_s3_config()
+        if s3_config.aws_access_key_id is not None and s3_config.aws_secret_access_key is not None:
+            self.s3 = s3fs.S3FileSystem(
+                key=s3_config.aws_access_key_id,
+                secret=s3_config.aws_secret_access_key,
+                anon=False,
+                endpoint_url="https://s3-eu-west-1.amazonaws.com",
+            )
+        else:
+            raise ValueError("S3 credentials are not set in the configuration.")
+
+    async def store(
+        self, file_path: str, data: Union[BinaryIO, str], overwrite: bool = False
+    ) -> str:
+        """
+        Store data into a specified file path. The data can be either a string or a binary
+        stream.
+
+        This method ensures that the storage directory exists before attempting to write the
+        data. If the provided data is a stream, it reads from the stream and writes to the file;
+        otherwise, it directly writes the provided data.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The relative path of the file where the data will be stored.
+            - data (Union[BinaryIO, str]): The data to be stored, which can be a string or a
+              binary stream.
+            - overwrite (bool): If True, overwrite the existing file.
+        """
+        full_file_path = os.path.join(self.storage_path.replace("s3://", ""), file_path)
+
+        file_dir_path = os.path.dirname(full_file_path)
+
+        await self.ensure_directory_exists(file_dir_path)
+
+        if overwrite or not await self.file_exists(file_path):
+
+            def save_data_to_file():
+                with self.s3.open(
+                    full_file_path,
+                    mode="w" if isinstance(data, str) else "wb",
+                    encoding="utf-8" if isinstance(data, str) else None,
+                ) as file:
+                    if hasattr(data, "read"):
+                        data.seek(0)
+                        file.write(data.read())
+                    else:
+                        file.write(data)
+
+                    file.close()
+
+            await run_async(save_data_to_file)
+
+        return "s3://" + full_file_path
+
+    @asynccontextmanager
+    async def open(self, file_path: str, mode: str = "r"):
+        """
+        Retrieve data from a specified file path, returning the content as bytes.
+
+        This method opens the file in read mode and reads its content. The function expects the
+        file to exist; if it does not, a FileNotFoundError will be raised.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The relative path of the file to retrieve data from.
+            - mode (str): The mode to open the file, with "r" as the default for reading binary
+              files. (default "r")
+
+        Returns:
+        --------
+
+            The content of the retrieved file as bytes.
+        """
+        full_file_path = os.path.join(self.storage_path.replace("s3://", ""), file_path)
+
+        def get_file():
+            return self.s3.open(full_file_path, mode=mode)
+
+        file = await run_async(get_file)
+        file = FileBufferedReader(file, name="s3://" + full_file_path)
+
+        try:
+            yield file
+        finally:
+            file.close()
+
+    async def file_exists(self, file_path: str):
+        """
+        Check if a specified file exists in the filesystem.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The path of the file to check for existence.
+
+        Returns:
+        --------
+
+            - bool: True if the file exists, otherwise False.
+        """
+        return await run_async(
+            self.s3.exists, os.path.join(self.storage_path.replace("s3://", ""), file_path)
+        )
+
+    async def ensure_directory_exists(self, directory_path: str = None):
+        """
+        Ensure that the specified directory exists, creating it if necessary.
+
+        If the directory already exists, no action is taken.
+
+        Parameters:
+        -----------
+
+            - directory_path (str): The path of the directory to check or create.
+        """
+        if directory_path is None:
+            directory_path = self.storage_path.replace("s3://", "")
+
+        def ensure_directory():
+            if not self.s3.exists(directory_path):
+                self.s3.makedirs(directory_path, exist_ok=True)
+
+        await run_async(ensure_directory)
+
+    async def copy_file(self, source_file_path: str, destination_file_path: str):
+        """
+        Copy a file from a source path to a destination path.
+
+        Parameters:
+        -----------
+
+            - source_file_path (str): The path of the file to be copied.
+            - destination_file_path (str): The path where the file will be copied to.
+
+        Returns:
+        --------
+
+            - str: The path to the copied file.
+        """
+
+        def copy():
+            return self.s3.copy(
+                os.path.join(self.storage_path.replace("s3://", ""), source_file_path),
+                os.path.join(self.storage_path.replace("s3://", ""), destination_file_path),
+                recursive=True,
+            )
+
+        return await run_async(copy)
+
+    async def remove(self, file_path: str):
+        """
+        Remove the specified file from the filesystem if it exists.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The path of the file to be removed.
+        """
+        full_file_path = os.path.join(self.storage_path.replace("s3://", ""), file_path)
+
+        def remove_file():
+            if self.s3.exists(full_file_path):
+                self.s3.rm_file(full_file_path)
+
+        await run_async(remove_file)
+
+    async def remove_all(self, tree_path: str):
+        """
+        Remove an entire directory tree at the specified path, including all files and
+        subdirectories.
+
+        If the directory does not exist, no action is taken and no exception is raised.
+
+        Parameters:
+        -----------
+
+            - tree_path (str): The root path of the directory tree to be removed.
+        """
+        if tree_path is None:
+            tree_path = self.storage_path.replace("s3://", "")
+        else:
+            tree_path = os.path.join(self.storage_path.replace("s3://", ""), tree_path)
+
+        # async_remove_all = run_async(lambda: self.s3.rm(tree_path, recursive=True))
+
+        try:
+            # await async_remove_all()
+            await run_async(self.s3.rm, tree_path, recursive=True)
+        except FileNotFoundError:
+            pass
diff --git a/cognee/infrastructure/files/storage/StorageManager.py b/cognee/infrastructure/files/storage/StorageManager.py
index 007ab3e98..6504cfae7 100644
--- a/cognee/infrastructure/files/storage/StorageManager.py
+++ b/cognee/infrastructure/files/storage/StorageManager.py
@@ -1,45 +1,8 @@
-from typing import Protocol, BinaryIO
+import inspect
+from typing import BinaryIO
+from contextlib import asynccontextmanager
 
-
-class Storage(Protocol):
-    """
-    Abstract interface for storage operations.
-    """
-
-    def store(self, file_path: str, data: bytes):
-        """
-        Store data at the specified file path.
-
-        Parameters:
-        -----------
-
-            - file_path (str): The path where the data will be stored.
-            - data (bytes): The binary data to be stored.
-        """
-        pass
-
-    def retrieve(self, file_path: str):
-        """
-        Retrieve data from the specified file path.
-
-        Parameters:
-        -----------
-
-            - file_path (str): The path from where the data will be retrieved.
-        """
-        pass
-
-    @staticmethod
-    def remove(file_path: str):
-        """
-        Remove the storage at the specified file path.
-
-        Parameters:
-        -----------
-
-            - file_path (str): The path of the file to be removed.
-        """
-        pass
+from .storage import Storage
 
 
 class StorageManager:
@@ -48,8 +11,9 @@ class StorageManager:
 
     Public methods include:
     - store: Store data in the specified path.
-    - retrieve: Retrieve data from the specified path.
+    - open: Open a file from the specified path.
     - remove: Remove the file at the specified path.
+    - remove_all: Remove all files under the directory tree.
     """
 
     storage: Storage = None
@@ -57,7 +21,26 @@ class StorageManager:
     def __init__(self, storage: Storage):
         self.storage = storage
 
-    def store(self, file_path: str, data: BinaryIO):
+    async def file_exists(self, file_path: str):
+        """
+        Check if a specified file exists in the storage.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The path of the file to check for existence.
+
+        Returns:
+        --------
+
+            - bool: True if the file exists, otherwise False.
+        """
+        if inspect.iscoroutinefunction(self.storage.file_exists):
+            return await self.storage.file_exists(file_path)
+        else:
+            return self.storage.file_exists(file_path)
+
+    async def store(self, file_path: str, data: BinaryIO, overwrite: bool = False) -> str:
         """
         Store data at the specified file path.
 
@@ -66,16 +49,20 @@ class StorageManager:
 
             - file_path (str): The path where the data should be stored.
             - data (BinaryIO): The data in a binary format that needs to be stored.
+            - overwrite (bool): If True, overwrite the existing file.
 
         Returns:
         --------
 
-            Returns the outcome of the store operation, as defined by the storage
-            implementation.
+            Returns the full path to the file.
         """
-        return self.storage.store(file_path, data)
+        if inspect.iscoroutinefunction(self.storage.store):
+            return await self.storage.store(file_path, data, overwrite)
+        else:
+            return self.storage.store(file_path, data, overwrite)
 
-    def retrieve(self, file_path: str):
+    @asynccontextmanager
+    async def open(self, file_path: str, encoding: str = None, *args, **kwargs):
         """
         Retrieve data from the specified file path.
 
@@ -89,9 +76,34 @@ class StorageManager:
 
             Returns the retrieved data, as defined by the storage implementation.
         """
-        return self.storage.retrieve(file_path)
+        # Check the actual storage type by class name to determine if open() is async or sync
 
-    def remove(self, file_path: str):
+        if self.storage.__class__.__name__ == "S3FileStorage":
+            # S3FileStorage.open() is async
+            async with self.storage.open(file_path, *args, **kwargs) as file:
+                yield file
+        else:
+            # LocalFileStorage.open() is sync
+            with self.storage.open(file_path, *args, **kwargs) as file:
+                yield file
+
+    async def ensure_directory_exists(self, directory_path: str = None):
+        """
+        Ensure that the specified directory exists, creating it if necessary.
+
+        If the directory already exists, no action is taken.
+
+        Parameters:
+        -----------
+
+            - directory_path (str): The path of the directory to check or create.
+        """
+        if inspect.iscoroutinefunction(self.storage.ensure_directory_exists):
+            return await self.storage.ensure_directory_exists(directory_path)
+        else:
+            return self.storage.ensure_directory_exists(directory_path)
+
+    async def remove(self, file_path: str):
         """
         Remove the file at the specified path.
 
@@ -106,4 +118,24 @@ class StorageManager:
             Returns the outcome of the remove operation, as defined by the storage
             implementation.
         """
-        return self.storage.remove(file_path)
+        if inspect.iscoroutinefunction(self.storage.remove):
+            return await self.storage.remove(file_path)
+        else:
+            return self.storage.remove(file_path)
+
+    async def remove_all(self, tree_path: str = None):
+        """
+        Remove an entire directory tree at the specified path, including all files and
+        subdirectories.
+
+        If the directory does not exist, no action is taken and no exception is raised.
+
+        Parameters:
+        -----------
+
+            - tree_path (str): The root path of the directory tree to be removed.
+        """
+        if inspect.iscoroutinefunction(self.storage.remove_all):
+            return await self.storage.remove_all(tree_path)
+        else:
+            return self.storage.remove_all(tree_path)
diff --git a/cognee/infrastructure/files/storage/__init__.py b/cognee/infrastructure/files/storage/__init__.py
index ab6e577df..27ff72eee 100644
--- a/cognee/infrastructure/files/storage/__init__.py
+++ b/cognee/infrastructure/files/storage/__init__.py
@@ -1 +1,3 @@
-from .LocalStorage import LocalStorage
+from .StorageManager import StorageManager
+from .get_file_storage import get_file_storage
+from .get_storage_config import get_storage_config
diff --git a/cognee/infrastructure/files/storage/config.py b/cognee/infrastructure/files/storage/config.py
new file mode 100644
index 000000000..6d1b3754f
--- /dev/null
+++ b/cognee/infrastructure/files/storage/config.py
@@ -0,0 +1,4 @@
+from contextvars import ContextVar
+
+
+file_storage_config = ContextVar("file_storage_config", default=None)
diff --git a/cognee/infrastructure/files/storage/get_file_storage.py b/cognee/infrastructure/files/storage/get_file_storage.py
new file mode 100644
index 000000000..335a63426
--- /dev/null
+++ b/cognee/infrastructure/files/storage/get_file_storage.py
@@ -0,0 +1,23 @@
+import os
+
+from cognee.base_config import get_base_config
+
+from .StorageManager import StorageManager
+
+
+def get_file_storage(storage_path: str) -> StorageManager:
+    base_config = get_base_config()
+
+    # Use S3FileStorage if the storage_path is an S3 URL or if configured for S3
+    if storage_path.startswith("s3://") or (
+        os.getenv("STORAGE_BACKEND") == "s3"
+        and "s3://" in base_config.system_root_directory
+        and "s3://" in base_config.data_root_directory
+    ):
+        from cognee.infrastructure.files.storage.S3FileStorage import S3FileStorage
+
+        return StorageManager(S3FileStorage(storage_path))
+    else:
+        from cognee.infrastructure.files.storage.LocalFileStorage import LocalFileStorage
+
+        return StorageManager(LocalFileStorage(storage_path))
diff --git a/cognee/infrastructure/files/storage/get_storage_config.py b/cognee/infrastructure/files/storage/get_storage_config.py
new file mode 100644
index 000000000..dc6d50ee2
--- /dev/null
+++ b/cognee/infrastructure/files/storage/get_storage_config.py
@@ -0,0 +1,18 @@
+from cognee.base_config import get_base_config
+from .config import file_storage_config
+
+
+def get_global_storage_config():
+    base_config = get_base_config()
+
+    return {
+        "data_root_directory": base_config.data_root_directory,
+    }
+
+
+def get_storage_config():
+    context_config = file_storage_config.get()
+    if context_config:
+        return context_config
+
+    return get_global_storage_config()
diff --git a/cognee/infrastructure/files/storage/storage.py b/cognee/infrastructure/files/storage/storage.py
new file mode 100644
index 000000000..849e5db23
--- /dev/null
+++ b/cognee/infrastructure/files/storage/storage.py
@@ -0,0 +1,105 @@
+from typing import BinaryIO, Protocol, Union
+
+
+class Storage(Protocol):
+    storage_path: str
+
+    """
+    Abstract interface for storage operations.
+    """
+
+    def file_exists(self, file_path: str) -> bool:
+        """
+        Check if a specified file exists in the storage.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The path of the file to check for existence.
+
+        Returns:
+        --------
+
+            - bool: True if the file exists, otherwise False.
+        """
+        pass
+
+    def store(self, file_path: str, data: Union[BinaryIO, str], overwrite: bool):
+        """
+        Store data at the specified file path.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The path where the data will be stored.
+            - data (bytes): The binary data to be stored.
+            - overwrite (bool): If True, overwrite the existing file.
+        """
+        pass
+
+    def open(self, file_path: str, mode: str = "r"):
+        """
+        Retrieve file from the specified file path.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The path from where the data will be retrieved.
+            - mode (str): The mode to open the file, with "r" as the default for reading text
+        """
+        pass
+
+    def copy_file(self, source_file_path: str, destination_file_path: str):
+        """
+        Copy a file from a source path to a destination path.
+
+        Parameters:
+        -----------
+
+            - source_file_path (str): The path of the file to be copied.
+            - destination_file_path (str): The path where the file will be copied to.
+
+        Returns:
+        --------
+
+            - str: The path to the copied file.
+        """
+        pass
+
+    def ensure_directory_exists(self, directory_path: str = None):
+        """
+        Ensure that the specified directory exists, creating it if necessary.
+
+        If the directory already exists, no action is taken.
+
+        Parameters:
+        -----------
+
+            - directory_path (str): The path of the directory to check or create.
+        """
+        pass
+
+    def remove(self, file_path: str):
+        """
+        Remove the storage at the specified file path.
+
+        Parameters:
+        -----------
+
+            - file_path (str): The path of the file to be removed.
+        """
+        pass
+
+    def remove_all(self, root_path: str = None):
+        """
+        Remove an entire directory tree at the specified path, including all files and
+        subdirectories.
+
+        If the directory does not exist, no action is taken and no exception is raised.
+
+        Parameters:
+        -----------
+
+            - tree_path (str): The root path of the directory tree to be removed.
+        """
+        pass
diff --git a/cognee/infrastructure/files/utils/get_file_content_hash.py b/cognee/infrastructure/files/utils/get_file_content_hash.py
new file mode 100644
index 000000000..212c1c297
--- /dev/null
+++ b/cognee/infrastructure/files/utils/get_file_content_hash.py
@@ -0,0 +1,40 @@
+import hashlib
+import os
+from os import path
+from typing import BinaryIO, Union
+
+from ..storage import get_file_storage
+from ..exceptions import FileContentHashingError
+
+
+async def get_file_content_hash(file_obj: Union[str, BinaryIO]) -> str:
+    h = hashlib.md5()
+
+    try:
+        if isinstance(file_obj, str):
+            # Normalize path separators to handle mixed separators on Windows
+            normalized_path = os.path.normpath(file_obj)
+
+            file_dir_path = path.dirname(normalized_path)
+            file_path = path.basename(normalized_path)
+
+            file_storage = get_file_storage(file_dir_path)
+
+            async with file_storage.open(file_path, "rb") as file:
+                while True:
+                    # Reading is buffered, so we can read smaller chunks.
+                    chunk = file.read(h.block_size)
+                    if not chunk:
+                        break
+                    h.update(chunk)
+        else:
+            while True:
+                # Reading is buffered, so we can read smaller chunks.
+                chunk = file_obj.read(h.block_size)
+                if not chunk:
+                    break
+                h.update(chunk)
+
+        return h.hexdigest()
+    except IOError as e:
+        raise FileContentHashingError(message=f"Failed to hash data from {file_obj}: {e}")
diff --git a/cognee/infrastructure/files/utils/get_file_metadata.py b/cognee/infrastructure/files/utils/get_file_metadata.py
index ebdd7cd05..79bd0c5a7 100644
--- a/cognee/infrastructure/files/utils/get_file_metadata.py
+++ b/cognee/infrastructure/files/utils/get_file_metadata.py
@@ -3,7 +3,7 @@ import os.path
 from typing import BinaryIO, TypedDict
 
 from cognee.shared.logging_utils import get_logger
-from cognee.shared.utils import get_file_content_hash
+from cognee.infrastructure.files.utils.get_file_content_hash import get_file_content_hash
 from .guess_file_type import guess_file_type
 
 logger = get_logger("FileMetadata")
@@ -26,7 +26,7 @@ class FileMetadata(TypedDict):
     file_size: int
 
 
-def get_file_metadata(file: BinaryIO) -> FileMetadata:
+async def get_file_metadata(file: BinaryIO) -> FileMetadata:
     """
     Retrieve metadata from a file object.
 
@@ -47,7 +47,7 @@ def get_file_metadata(file: BinaryIO) -> FileMetadata:
     """
     try:
         file.seek(0)
-        content_hash = get_file_content_hash(file)
+        content_hash = await get_file_content_hash(file)
         file.seek(0)
     except io.UnsupportedOperation as error:
         logger.error(f"Error retrieving content hash for file: {file.name} \n{str(error)}\n\n")
diff --git a/cognee/infrastructure/files/utils/open_data_file.py b/cognee/infrastructure/files/utils/open_data_file.py
new file mode 100644
index 000000000..15ffa45dc
--- /dev/null
+++ b/cognee/infrastructure/files/utils/open_data_file.py
@@ -0,0 +1,65 @@
+import os
+from os import path
+from urllib.parse import urlparse
+from contextlib import asynccontextmanager
+
+from cognee.infrastructure.files.storage import get_file_storage
+
+
+@asynccontextmanager
+async def open_data_file(file_path: str, mode: str = "rb", encoding: str = None, **kwargs):
+    # Check if this is a file URI BEFORE normalizing (which corrupts URIs)
+    if file_path.startswith("file://"):
+        # Normalize the file URI for Windows - replace backslashes with forward slashes
+        normalized_file_uri = file_path.replace("\\", "/")
+
+        parsed_url = urlparse(normalized_file_uri)
+
+        # Convert URI path to file system path
+        if os.name == "nt":  # Windows
+            # Handle Windows drive letters correctly
+            fs_path = parsed_url.path
+            if fs_path.startswith("/") and len(fs_path) > 1 and fs_path[2] == ":":
+                fs_path = fs_path[1:]  # Remove leading slash for Windows drive paths
+        else:  # Unix-like systems
+            fs_path = parsed_url.path
+
+        # Now split the actual filesystem path
+        actual_fs_path = os.path.normpath(fs_path)
+        file_dir_path = path.dirname(actual_fs_path)
+        file_name = path.basename(actual_fs_path)
+
+    elif file_path.startswith("s3://"):
+        # Handle S3 URLs without normalization (which corrupts them)
+        parsed_url = urlparse(file_path)
+
+        # For S3, reconstruct the directory path and filename
+        s3_path = parsed_url.path.lstrip("/")  # Remove leading slash
+
+        if "/" in s3_path:
+            s3_dir = "/".join(s3_path.split("/")[:-1])
+            s3_filename = s3_path.split("/")[-1]
+        else:
+            s3_dir = ""
+            s3_filename = s3_path
+
+        # Extract filesystem path from S3 URL structure
+        file_dir_path = (
+            f"s3://{parsed_url.netloc}/{s3_dir}" if s3_dir else f"s3://{parsed_url.netloc}"
+        )
+        file_name = s3_filename
+
+    else:
+        # Regular file path - normalize separators
+        normalized_path = os.path.normpath(file_path)
+        file_dir_path = path.dirname(normalized_path)
+        file_name = path.basename(normalized_path)
+
+    # Validate that we have a proper filename
+    if not file_name or file_name == "." or file_name == "..":
+        raise ValueError(f"Invalid filename extracted: '{file_name}' from path: '{file_path}'")
+
+    file_storage = get_file_storage(file_dir_path)
+
+    async with file_storage.open(file_name, mode=mode, encoding=encoding, **kwargs) as file:
+        yield file
diff --git a/cognee/infrastructure/llm/ollama/adapter.py b/cognee/infrastructure/llm/ollama/adapter.py
index 82f50ede5..9bcf867e5 100644
--- a/cognee/infrastructure/llm/ollama/adapter.py
+++ b/cognee/infrastructure/llm/ollama/adapter.py
@@ -1,16 +1,15 @@
-from typing import Type
-from pydantic import BaseModel
+import base64
 import instructor
+from typing import Type
+from openai import OpenAI
+from pydantic import BaseModel
+
 from cognee.infrastructure.llm.llm_interface import LLMInterface
-from cognee.infrastructure.llm.config import get_llm_config
 from cognee.infrastructure.llm.rate_limiter import (
     rate_limit_async,
-    rate_limit_sync,
     sleep_and_retry_async,
 )
-from openai import OpenAI
-import base64
-import os
+from cognee.infrastructure.files.utils.open_data_file import open_data_file
 
 
 class OllamaAPIAdapter(LLMInterface):
@@ -87,8 +86,8 @@ class OllamaAPIAdapter(LLMInterface):
 
         return response
 
-    @rate_limit_sync
-    def create_transcript(self, input_file: str) -> str:
+    @rate_limit_async
+    async def create_transcript(self, input_file: str) -> str:
         """
         Generate an audio transcript from a user query.
 
@@ -107,10 +106,7 @@ class OllamaAPIAdapter(LLMInterface):
             - str: The transcription of the audio as a string.
         """
 
-        if not os.path.isfile(input_file):
-            raise FileNotFoundError(f"The file {input_file} does not exist.")
-
-        with open(input_file, "rb") as audio_file:
+        async with open_data_file(input_file, mode="rb") as audio_file:
             transcription = self.aclient.audio.transcriptions.create(
                 model="whisper-1",  # Ensure the correct model for transcription
                 file=audio_file,
@@ -123,8 +119,8 @@ class OllamaAPIAdapter(LLMInterface):
 
         return transcription.text
 
-    @rate_limit_sync
-    def transcribe_image(self, input_file: str) -> str:
+    @rate_limit_async
+    async def transcribe_image(self, input_file: str) -> str:
         """
         Transcribe content from an image using base64 encoding.
 
@@ -144,10 +140,7 @@ class OllamaAPIAdapter(LLMInterface):
             - str: The transcription of the image's content as a string.
         """
 
-        if not os.path.isfile(input_file):
-            raise FileNotFoundError(f"The file {input_file} does not exist.")
-
-        with open(input_file, "rb") as image_file:
+        async with open_data_file(input_file, mode="rb") as image_file:
             encoded_image = base64.b64encode(image_file.read()).decode("utf-8")
 
         response = self.aclient.chat.completions.create(
diff --git a/cognee/infrastructure/llm/openai/adapter.py b/cognee/infrastructure/llm/openai/adapter.py
index f0667a696..066ad0157 100644
--- a/cognee/infrastructure/llm/openai/adapter.py
+++ b/cognee/infrastructure/llm/openai/adapter.py
@@ -1,4 +1,3 @@
-import os
 import base64
 import litellm
 import instructor
@@ -12,7 +11,7 @@ from cognee.exceptions import InvalidValueError
 from cognee.infrastructure.llm.prompts import read_query_prompt
 from cognee.infrastructure.llm.llm_interface import LLMInterface
 from cognee.infrastructure.llm.exceptions import ContentPolicyFilterError
-from cognee.modules.data.processing.document_types.open_data_file import open_data_file
+from cognee.infrastructure.files.utils.open_data_file import open_data_file
 from cognee.infrastructure.llm.rate_limiter import (
     rate_limit_async,
     rate_limit_sync,
@@ -222,8 +221,8 @@ class OpenAIAdapter(LLMInterface):
             max_retries=self.MAX_RETRIES,
         )
 
-    @rate_limit_sync
-    def create_transcript(self, input):
+    @rate_limit_async
+    async def create_transcript(self, input):
         """
         Generate an audio transcript from a user query.
 
@@ -242,10 +241,7 @@ class OpenAIAdapter(LLMInterface):
             The generated transcription of the audio file.
         """
 
-        if not input.startswith("s3://") and not os.path.isfile(input):
-            raise FileNotFoundError(f"The file {input} does not exist.")
-
-        with open_data_file(input, mode="rb") as audio_file:
+        async with open_data_file(input, mode="rb") as audio_file:
             transcription = litellm.transcription(
                 model=self.transcription_model,
                 file=audio_file,
@@ -257,8 +253,8 @@ class OpenAIAdapter(LLMInterface):
 
         return transcription
 
-    @rate_limit_sync
-    def transcribe_image(self, input) -> BaseModel:
+    @rate_limit_async
+    async def transcribe_image(self, input) -> BaseModel:
         """
         Generate a transcription of an image from a user query.
 
@@ -276,7 +272,7 @@ class OpenAIAdapter(LLMInterface):
             - BaseModel: A structured output generated by the model, returned as an instance of
               BaseModel.
         """
-        with open_data_file(input, mode="rb") as image_file:
+        async with open_data_file(input, mode="rb") as image_file:
             encoded_image = base64.b64encode(image_file.read()).decode("utf-8")
 
         return litellm.completion(
diff --git a/cognee/infrastructure/utils/run_async.py b/cognee/infrastructure/utils/run_async.py
new file mode 100644
index 000000000..5480ea110
--- /dev/null
+++ b/cognee/infrastructure/utils/run_async.py
@@ -0,0 +1,13 @@
+import asyncio
+from functools import partial
+
+
+async def run_async(func, *args, loop=None, executor=None, **kwargs):
+    if loop is None:
+        try:
+            running_loop = asyncio.get_running_loop()
+        except RuntimeError:
+            running_loop = asyncio.get_event_loop()
+
+    pfunc = partial(func, *args, **kwargs)
+    return await running_loop.run_in_executor(executor, pfunc)
diff --git a/cognee/infrastructure/utils/run_sync.py b/cognee/infrastructure/utils/run_sync.py
new file mode 100644
index 000000000..4945b0b98
--- /dev/null
+++ b/cognee/infrastructure/utils/run_sync.py
@@ -0,0 +1,25 @@
+import asyncio
+import threading
+
+
+def run_sync(coro, timeout=None):
+    result = None
+    exception = None
+
+    def runner():
+        nonlocal result, exception
+        try:
+            result = asyncio.run(coro)
+        except Exception as e:
+            exception = e
+
+    thread = threading.Thread(target=runner)
+    thread.start()
+    thread.join(timeout)
+
+    if thread.is_alive():
+        raise asyncio.TimeoutError("Coroutine execution timed out.")
+    if exception:
+        raise exception
+
+    return result
diff --git a/cognee/modules/chunking/LangchainChunker.py b/cognee/modules/chunking/LangchainChunker.py
index b8e8fe371..849e51fd9 100644
--- a/cognee/modules/chunking/LangchainChunker.py
+++ b/cognee/modules/chunking/LangchainChunker.py
@@ -33,8 +33,8 @@ class LangchainChunker(Chunker):
             length_function=lambda text: len(text.split()),
         )
 
-    def read(self):
-        for content_text in self.get_text():
+    async def read(self):
+        async for content_text in self.get_text():
             for chunk in self.splitter.split_text(content_text):
                 embedding_engine = get_vector_engine().embedding_engine
                 token_count = embedding_engine.tokenizer.count_tokens(chunk)
diff --git a/cognee/modules/chunking/TextChunker.py b/cognee/modules/chunking/TextChunker.py
index acdaaeb21..f7b203254 100644
--- a/cognee/modules/chunking/TextChunker.py
+++ b/cognee/modules/chunking/TextChunker.py
@@ -9,9 +9,9 @@ logger = get_logger()
 
 
 class TextChunker(Chunker):
-    def read(self):
+    async def read(self):
         paragraph_chunks = []
-        for content_text in self.get_text():
+        async for content_text in self.get_text():
             for chunk_data in chunk_by_paragraph(
                 content_text,
                 self.max_chunk_size,
diff --git a/cognee/modules/data/deletion/prune_data.py b/cognee/modules/data/deletion/prune_data.py
index 12a516329..947601167 100644
--- a/cognee/modules/data/deletion/prune_data.py
+++ b/cognee/modules/data/deletion/prune_data.py
@@ -1,8 +1,7 @@
-from cognee.base_config import get_base_config
-from cognee.infrastructure.files.storage import LocalStorage
+from cognee.infrastructure.files.storage import get_file_storage, get_storage_config
 
 
 async def prune_data():
-    base_config = get_base_config()
-    data_root_directory = base_config.data_root_directory
-    LocalStorage.remove_all(data_root_directory)
+    storage_config = get_storage_config()
+    data_root_directory = storage_config["data_root_directory"]
+    await get_file_storage(data_root_directory).remove_all()
diff --git a/cognee/modules/data/processing/document_types/AudioDocument.py b/cognee/modules/data/processing/document_types/AudioDocument.py
index a254d85e8..d25d423a3 100644
--- a/cognee/modules/data/processing/document_types/AudioDocument.py
+++ b/cognee/modules/data/processing/document_types/AudioDocument.py
@@ -7,15 +7,16 @@ from .Document import Document
 class AudioDocument(Document):
     type: str = "audio"
 
-    def create_transcript(self):
-        result = get_llm_client().create_transcript(self.raw_data_location)
+    async def create_transcript(self):
+        result = await get_llm_client().create_transcript(self.raw_data_location)
         return result.text
 
-    def read(self, chunker_cls: Chunker, max_chunk_size: int):
-        # Transcribe the audio file
+    async def read(self, chunker_cls: Chunker, max_chunk_size: int):
+        async def get_text():
+            # Transcribe the audio file
+            yield await self.create_transcript()
 
-        text = self.create_transcript()
+        chunker = chunker_cls(self, max_chunk_size=max_chunk_size, get_text=get_text)
 
-        chunker = chunker_cls(self, max_chunk_size=max_chunk_size, get_text=lambda: [text])
-
-        yield from chunker.read()
+        async for chunk in chunker.read():
+            yield chunk
diff --git a/cognee/modules/data/processing/document_types/Document.py b/cognee/modules/data/processing/document_types/Document.py
index af1be84c2..c76fa43fc 100644
--- a/cognee/modules/data/processing/document_types/Document.py
+++ b/cognee/modules/data/processing/document_types/Document.py
@@ -10,5 +10,5 @@ class Document(DataPoint):
     mime_type: str
     metadata: dict = {"index_fields": ["name"]}
 
-    def read(self, chunker_cls: Chunker, max_chunk_size: int) -> str:
+    async def read(self, chunker_cls: Chunker, max_chunk_size: int) -> str:
         pass
diff --git a/cognee/modules/data/processing/document_types/ImageDocument.py b/cognee/modules/data/processing/document_types/ImageDocument.py
index ae288c34c..228a79340 100644
--- a/cognee/modules/data/processing/document_types/ImageDocument.py
+++ b/cognee/modules/data/processing/document_types/ImageDocument.py
@@ -7,14 +7,16 @@ from .Document import Document
 class ImageDocument(Document):
     type: str = "image"
 
-    def transcribe_image(self):
-        result = get_llm_client().transcribe_image(self.raw_data_location)
+    async def transcribe_image(self):
+        result = await get_llm_client().transcribe_image(self.raw_data_location)
         return result.choices[0].message.content
 
-    def read(self, chunker_cls: Chunker, max_chunk_size: int):
-        # Transcribe the image file
-        text = self.transcribe_image()
+    async def read(self, chunker_cls: Chunker, max_chunk_size: int):
+        async def get_text():
+            # Transcribe the image file
+            yield await self.transcribe_image()
 
-        chunker = chunker_cls(self, get_text=lambda: [text], max_chunk_size=max_chunk_size)
+        chunker = chunker_cls(self, get_text=get_text, max_chunk_size=max_chunk_size)
 
-        yield from chunker.read()
+        async for chunk in chunker.read():
+            yield chunk
diff --git a/cognee/modules/data/processing/document_types/PdfDocument.py b/cognee/modules/data/processing/document_types/PdfDocument.py
index e0e3136fc..442a7e3c2 100644
--- a/cognee/modules/data/processing/document_types/PdfDocument.py
+++ b/cognee/modules/data/processing/document_types/PdfDocument.py
@@ -1,25 +1,27 @@
 from pypdf import PdfReader
 from cognee.modules.chunking.Chunker import Chunker
-from .open_data_file import open_data_file
-from .Document import Document
+from cognee.infrastructure.files.utils.open_data_file import open_data_file
 from cognee.shared.logging_utils import get_logger
 from cognee.modules.data.processing.document_types.exceptions.exceptions import PyPdfInternalError
 
+from .Document import Document
+
 logger = get_logger("PDFDocument")
 
 
 class PdfDocument(Document):
     type: str = "pdf"
 
-    def read(self, chunker_cls: Chunker, max_chunk_size: int):
-        with open_data_file(self.raw_data_location, mode="rb") as stream:
+    async def read(self, chunker_cls: Chunker, max_chunk_size: int):
+        async with open_data_file(self.raw_data_location, mode="rb") as stream:
             logger.info(f"Reading PDF:{self.raw_data_location}")
+
             try:
                 file = PdfReader(stream, strict=False)
             except Exception:
                 raise PyPdfInternalError()
 
-            def get_text():
+            async def get_text():
                 try:
                     for page in file.pages:
                         page_text = page.extract_text()
@@ -29,4 +31,5 @@ class PdfDocument(Document):
 
             chunker = chunker_cls(self, get_text=get_text, max_chunk_size=max_chunk_size)
 
-            yield from chunker.read()
+            async for chunk in chunker.read():
+                yield chunk
diff --git a/cognee/modules/data/processing/document_types/TextDocument.py b/cognee/modules/data/processing/document_types/TextDocument.py
index 2532a3be5..7a4232ed2 100644
--- a/cognee/modules/data/processing/document_types/TextDocument.py
+++ b/cognee/modules/data/processing/document_types/TextDocument.py
@@ -1,15 +1,15 @@
-from .Document import Document
 from cognee.modules.chunking.Chunker import Chunker
-from .open_data_file import open_data_file
+from cognee.infrastructure.files.utils.open_data_file import open_data_file
+from .Document import Document
 
 
 class TextDocument(Document):
     type: str = "text"
     mime_type: str = "text/plain"
 
-    def read(self, chunker_cls: Chunker, max_chunk_size: int):
-        def get_text():
-            with open_data_file(self.raw_data_location, mode="r", encoding="utf-8") as file:
+    async def read(self, chunker_cls: Chunker, max_chunk_size: int):
+        async def get_text():
+            async with open_data_file(self.raw_data_location, mode="r", encoding="utf-8") as file:
                 while True:
                     text = file.read(1000000)
                     if not text.strip():
@@ -17,4 +17,6 @@ class TextDocument(Document):
                     yield text
 
         chunker = chunker_cls(self, max_chunk_size=max_chunk_size, get_text=get_text)
-        yield from chunker.read()
+
+        async for chunk in chunker.read():
+            yield chunk
diff --git a/cognee/modules/data/processing/document_types/UnstructuredDocument.py b/cognee/modules/data/processing/document_types/UnstructuredDocument.py
index b95b93fae..204da1dc1 100644
--- a/cognee/modules/data/processing/document_types/UnstructuredDocument.py
+++ b/cognee/modules/data/processing/document_types/UnstructuredDocument.py
@@ -1,8 +1,9 @@
 from io import StringIO
+from typing import Any, AsyncGenerator
 
 from cognee.modules.chunking.Chunker import Chunker
 from cognee.modules.data.exceptions import UnstructuredLibraryImportError
-from cognee.modules.data.processing.document_types.open_data_file import open_data_file
+from cognee.infrastructure.files.utils.open_data_file import open_data_file
 
 from .Document import Document
 
@@ -10,15 +11,15 @@ from .Document import Document
 class UnstructuredDocument(Document):
     type: str = "unstructured"
 
-    def read(self, chunker_cls: Chunker, max_chunk_size: int) -> str:
-        def get_text():
+    async def read(self, chunker_cls: Chunker, max_chunk_size: int) -> AsyncGenerator[Any, Any]:
+        async def get_text():
             try:
                 from unstructured.partition.auto import partition
             except ModuleNotFoundError:
                 raise UnstructuredLibraryImportError
 
             if self.raw_data_location.startswith("s3://"):
-                with open_data_file(self.raw_data_location, mode="rb") as f:
+                async with open_data_file(self.raw_data_location, mode="rb") as f:
                     elements = partition(file=f, content_type=self.mime_type)
             else:
                 elements = partition(self.raw_data_location, content_type=self.mime_type)
@@ -34,4 +35,5 @@ class UnstructuredDocument(Document):
 
         chunker = chunker_cls(self, get_text=get_text, max_chunk_size=max_chunk_size)
 
-        yield from chunker.read()
+        async for chunk in chunker.read():
+            yield chunk
diff --git a/cognee/modules/data/processing/document_types/open_data_file.py b/cognee/modules/data/processing/document_types/open_data_file.py
deleted file mode 100644
index 4190f4420..000000000
--- a/cognee/modules/data/processing/document_types/open_data_file.py
+++ /dev/null
@@ -1,41 +0,0 @@
-from typing import IO, Optional
-from urllib.parse import urlparse
-import os
-from cognee.api.v1.add.config import get_s3_config
-
-
-def open_data_file(
-    file_path: str, mode: str = "rb", encoding: Optional[str] = None, **kwargs
-) -> IO:
-    if file_path.startswith("s3://"):
-        s3_config = get_s3_config()
-        if s3_config.aws_access_key_id is not None and s3_config.aws_secret_access_key is not None:
-            import s3fs
-
-            fs = s3fs.S3FileSystem(
-                key=s3_config.aws_access_key_id, secret=s3_config.aws_secret_access_key, anon=False
-            )
-        else:
-            raise ValueError("S3 credentials are not set in the configuration.")
-
-        if "b" in mode:
-            f = fs.open(file_path, mode=mode, **kwargs)
-            if not hasattr(f, "name") or not f.name:
-                f.name = file_path.split("/")[-1]
-            return f
-        else:
-            return fs.open(file_path, mode=mode, encoding=encoding, **kwargs)
-    elif file_path.startswith("file://"):
-        # Handle local file URLs by properly parsing the URI
-        parsed_url = urlparse(file_path)
-        # On Windows, urlparse handles drive letters correctly
-        # Convert the path component to a proper file path
-        if os.name == "nt":  # Windows
-            # Remove leading slash from Windows paths like /C:/Users/...
-            local_path = parsed_url.path.lstrip("/")
-        else:  # Unix-like systems
-            local_path = parsed_url.path
-
-        return open(local_path, mode=mode, encoding=encoding, **kwargs)
-    else:
-        return open(file_path, mode=mode, encoding=encoding, **kwargs)
diff --git a/cognee/modules/ingestion/classify.py b/cognee/modules/ingestion/classify.py
index 44f1cf013..b2fceaae3 100644
--- a/cognee/modules/ingestion/classify.py
+++ b/cognee/modules/ingestion/classify.py
@@ -1,29 +1,29 @@
+from os import path
 from io import BufferedReader
-from typing import Union, BinaryIO, Optional, Any
-from .data_types import TextData, BinaryData
+from typing import Union, BinaryIO
 from tempfile import SpooledTemporaryFile
 
 from cognee.modules.ingestion.exceptions import IngestionError
-
-try:
-    from s3fs.core import S3File
-    from cognee.modules.ingestion.data_types.S3BinaryData import S3BinaryData
-except ImportError:
-    S3File = None
-    S3BinaryData = None
+from .data_types import TextData, BinaryData, S3BinaryData
 
 
-def classify(data: Union[str, BinaryIO], filename: str = None, s3fs: Optional[Any] = None):
+def classify(data: Union[str, BinaryIO], filename: str = None):
     if isinstance(data, str):
         return TextData(data)
 
     if isinstance(data, BufferedReader) or isinstance(data, SpooledTemporaryFile):
-        return BinaryData(data, str(data.name).split("/")[-1] if data.name else filename)
+        return BinaryData(
+            data, str(data.name).split("/")[-1] if hasattr(data, "name") else filename
+        )
+
+    try:
+        from s3fs import S3File
+    except ImportError:
+        S3File = None
 
     if S3File is not None:
         if isinstance(data, S3File):
-            derived_filename = str(data.full_name).split("/")[-1] if data.full_name else filename
-            return S3BinaryData(s3_path=data.full_name, name=derived_filename, s3=s3fs)
+            return S3BinaryData(s3_path=path.join("s3://", data.bucket, data.key), name=data.key)
 
     raise IngestionError(
         message=f"Type of data sent to classify(data: Union[str, BinaryIO) not supported or s3fs is not installed: {type(data)}"
diff --git a/cognee/modules/ingestion/data_types/BinaryData.py b/cognee/modules/ingestion/data_types/BinaryData.py
index 7f137a6a0..f96e0d65c 100644
--- a/cognee/modules/ingestion/data_types/BinaryData.py
+++ b/cognee/modules/ingestion/data_types/BinaryData.py
@@ -1,5 +1,7 @@
 from typing import BinaryIO
+from contextlib import asynccontextmanager
 from cognee.infrastructure.files import get_file_metadata, FileMetadata
+from cognee.infrastructure.utils.run_sync import run_sync
 from .IngestionData import IngestionData
 
 
@@ -22,16 +24,17 @@ class BinaryData(IngestionData):
         return metadata["content_hash"]
 
     def get_metadata(self):
-        self.ensure_metadata()
+        run_sync(self.ensure_metadata())
 
         return self.metadata
 
-    def ensure_metadata(self):
+    async def ensure_metadata(self):
         if self.metadata is None:
-            self.metadata = get_file_metadata(self.data)
+            self.metadata = await get_file_metadata(self.data)
 
             if self.metadata["name"] is None:
                 self.metadata["name"] = self.name
 
-    def get_data(self):
-        return self.data
+    @asynccontextmanager
+    async def get_data(self):
+        yield self.data
diff --git a/cognee/modules/ingestion/data_types/S3BinaryData.py b/cognee/modules/ingestion/data_types/S3BinaryData.py
index 0536665c8..63f97d8f1 100644
--- a/cognee/modules/ingestion/data_types/S3BinaryData.py
+++ b/cognee/modules/ingestion/data_types/S3BinaryData.py
@@ -1,42 +1,55 @@
+import os
 from typing import Optional
-import s3fs
+from contextlib import asynccontextmanager
 from cognee.infrastructure.files import get_file_metadata, FileMetadata
+from cognee.infrastructure.utils import run_sync
 from .IngestionData import IngestionData
 
 
-def create_s3_binary_data(
-    s3_path: str, name: Optional[str] = None, s3: Optional[s3fs.S3FileSystem] = None
-) -> "S3BinaryData":
-    return S3BinaryData(s3_path, name=name, s3=s3)
+def create_s3_binary_data(s3_path: str, name: Optional[str] = None) -> "S3BinaryData":
+    return S3BinaryData(s3_path, name=name)
 
 
 class S3BinaryData(IngestionData):
     name: Optional[str] = None
     s3_path: str = None
-    fs: s3fs.S3FileSystem = None
     metadata: Optional[FileMetadata] = None
 
-    def __init__(
-        self, s3_path: str, name: Optional[str] = None, s3: Optional[s3fs.S3FileSystem] = None
-    ):
+    def __init__(self, s3_path: str, name: Optional[str] = None):
         self.s3_path = s3_path
         self.name = name
-        self.fs = s3 if s3 is not None else s3fs.S3FileSystem()
 
     def get_identifier(self):
         metadata = self.get_metadata()
         return metadata["content_hash"]
 
     def get_metadata(self):
-        self.ensure_metadata()
+        run_sync(self.ensure_metadata())
         return self.metadata
 
-    def ensure_metadata(self):
+    async def ensure_metadata(self):
         if self.metadata is None:
-            with self.fs.open(self.s3_path, "rb") as f:
-                self.metadata = get_file_metadata(f)
-            if self.metadata.get("name") is None:
-                self.metadata["name"] = self.name or self.s3_path.split("/")[-1]
+            from cognee.infrastructure.files.storage.S3FileStorage import S3FileStorage
 
-    def get_data(self):
-        return self.fs.open(self.s3_path, "rb")
+            file_dir_path = os.path.dirname(self.s3_path)
+            file_path = os.path.basename(self.s3_path)
+
+            file_storage = S3FileStorage(file_dir_path)
+
+            async with file_storage.open(file_path, "rb") as file:
+                self.metadata = await get_file_metadata(file)
+
+            if self.metadata.get("name") is None:
+                self.metadata["name"] = self.name or file_path
+
+    @asynccontextmanager
+    async def get_data(self):
+        from cognee.infrastructure.files.storage.S3FileStorage import S3FileStorage
+
+        file_dir_path = os.path.dirname(self.s3_path)
+        file_path = os.path.basename(self.s3_path)
+
+        file_storage = S3FileStorage(file_dir_path)
+
+        async with file_storage.open(file_path, "rb") as file:
+            yield file
diff --git a/cognee/modules/ingestion/data_types/TextData.py b/cognee/modules/ingestion/data_types/TextData.py
index b518d54a9..29abc7323 100644
--- a/cognee/modules/ingestion/data_types/TextData.py
+++ b/cognee/modules/ingestion/data_types/TextData.py
@@ -1,4 +1,5 @@
 from typing import BinaryIO
+from contextlib import asynccontextmanager
 from cognee.infrastructure.data.utils.extract_keywords import extract_keywords
 from .IngestionData import IngestionData
 
@@ -28,5 +29,6 @@ class TextData(IngestionData):
         if self.metadata is None:
             self.metadata = {}
 
-    def get_data(self):
-        return self.data
+    @asynccontextmanager
+    async def get_data(self):
+        yield self.data
diff --git a/cognee/modules/ingestion/data_types/__init__.py b/cognee/modules/ingestion/data_types/__init__.py
index 2cc5796cd..f68306f80 100644
--- a/cognee/modules/ingestion/data_types/__init__.py
+++ b/cognee/modules/ingestion/data_types/__init__.py
@@ -1,3 +1,4 @@
 from .TextData import TextData, create_text_data
 from .BinaryData import BinaryData, create_binary_data
+from .S3BinaryData import S3BinaryData, create_s3_binary_data
 from .IngestionData import IngestionData
diff --git a/cognee/modules/ingestion/save_data_to_file.py b/cognee/modules/ingestion/save_data_to_file.py
index 2e6ba7e15..0aa2948f6 100644
--- a/cognee/modules/ingestion/save_data_to_file.py
+++ b/cognee/modules/ingestion/save_data_to_file.py
@@ -1,29 +1,28 @@
-import os.path
 import hashlib
 from typing import BinaryIO, Union
-from cognee.base_config import get_base_config
-from cognee.infrastructure.files.storage import LocalStorage
+from cognee.infrastructure.files.storage import get_file_storage, get_storage_config
 from .classify import classify
 
 
-def save_data_to_file(data: Union[str, BinaryIO], filename: str = None):
-    base_config = get_base_config()
-    data_directory_path = base_config.data_root_directory
+async def save_data_to_file(data: Union[str, BinaryIO], filename: str = None):
+    storage_config = get_storage_config()
+
+    data_root_directory = storage_config["data_root_directory"]
 
     classified_data = classify(data, filename)
 
-    storage_path = os.path.join(data_directory_path, "data")
-    LocalStorage.ensure_directory_exists(storage_path)
-
     file_metadata = classified_data.get_metadata()
-    if "name" not in file_metadata or file_metadata["name"] is None:
-        data_contents = classified_data.get_data().encode("utf-8")
-        hash_contents = hashlib.md5(data_contents).hexdigest()
-        file_metadata["name"] = "text_" + hash_contents + ".txt"
-    file_name = file_metadata["name"]
 
-    # Don't save file if it already exists
-    if not os.path.isfile(os.path.join(storage_path, file_name)):
-        LocalStorage(storage_path).store(file_name, classified_data.get_data())
+    async with classified_data.get_data() as data:
+        if "name" not in file_metadata or file_metadata["name"] is None:
+            data_contents = data.encode("utf-8")
+            hash_contents = hashlib.md5(data_contents).hexdigest()
+            file_metadata["name"] = "text_" + hash_contents + ".txt"
 
-    return "file://" + storage_path + "/" + file_name
+        file_name = file_metadata["name"]
+
+        storage = get_file_storage(data_root_directory)
+
+        full_file_path = await storage.store(file_name, data)
+
+        return full_file_path
diff --git a/cognee/modules/pipelines/operations/pipeline.py b/cognee/modules/pipelines/operations/pipeline.py
index 8ffe33a8a..e58c15254 100644
--- a/cognee/modules/pipelines/operations/pipeline.py
+++ b/cognee/modules/pipelines/operations/pipeline.py
@@ -1,6 +1,6 @@
 import asyncio
+from uuid import UUID
 from typing import Union
-from uuid import NAMESPACE_OID, uuid5, UUID
 
 from cognee.shared.logging_utils import get_logger
 from cognee.modules.data.methods.get_dataset_data import get_dataset_data
diff --git a/cognee/modules/pipelines/operations/run_tasks.py b/cognee/modules/pipelines/operations/run_tasks.py
index a301b2e32..46f979aaa 100644
--- a/cognee/modules/pipelines/operations/run_tasks.py
+++ b/cognee/modules/pipelines/operations/run_tasks.py
@@ -3,6 +3,7 @@ from uuid import UUID
 from typing import Any
 from functools import wraps
 
+from cognee.infrastructure.databases.graph import get_graph_engine
 from cognee.infrastructure.databases.relational import get_relational_engine
 from cognee.modules.pipelines.operations.run_tasks_distributed import run_tasks_distributed
 from cognee.modules.users.models import User
@@ -104,6 +105,14 @@ async def run_tasks(
             dataset_name=dataset.name,
         )
 
+        graph_engine = await get_graph_engine()
+        if hasattr(graph_engine, "push_to_s3"):
+            await graph_engine.push_to_s3()
+
+        relational_engine = get_relational_engine()
+        if hasattr(relational_engine, "push_to_s3"):
+            await relational_engine.push_to_s3()
+
     except Exception as error:
         await log_pipeline_run_error(
             pipeline_run_id, pipeline_id, pipeline_name, dataset_id, data, error
diff --git a/cognee/modules/visualization/cognee_network_visualization.py b/cognee/modules/visualization/cognee_network_visualization.py
index 0328c5c3e..dde2fe98d 100644
--- a/cognee/modules/visualization/cognee_network_visualization.py
+++ b/cognee/modules/visualization/cognee_network_visualization.py
@@ -3,7 +3,7 @@ import json
 import networkx
 
 from cognee.shared.logging_utils import get_logger
-from cognee.infrastructure.files.storage import LocalStorage
+from cognee.infrastructure.files.storage.LocalFileStorage import LocalFileStorage
 
 logger = get_logger()
 
@@ -308,10 +308,12 @@ async def cognee_network_visualization(graph_data, destination_file_path: str =
         home_dir = os.path.expanduser("~")
         destination_file_path = os.path.join(home_dir, "graph_visualization.html")
 
-    LocalStorage.ensure_directory_exists(os.path.dirname(destination_file_path))
+    dir_path = os.path.dirname(destination_file_path)
+    file_path = os.path.basename(destination_file_path)
 
-    with open(destination_file_path, "w") as f:
-        f.write(html_content)
+    file_storage = LocalFileStorage(dir_path)
+
+    file_storage.store(file_path, html_content, overwrite=True)
 
     logger.info(f"Graph visualization saved as {destination_file_path}")
 
diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py
index 444c4eb5d..709d0a0de 100644
--- a/cognee/shared/utils.py
+++ b/cognee/shared/utils.py
@@ -1,10 +1,7 @@
 """This module contains utility functions for the cognee."""
 
 import os
-from typing import BinaryIO, Union
-
 import requests
-import hashlib
 from datetime import datetime, timezone
 import graphistry
 import networkx as nx
@@ -13,14 +10,12 @@ import matplotlib.pyplot as plt
 import http.server
 import socketserver
 from threading import Thread
-import sys
+import pathlib
+from uuid import uuid4
 
 from cognee.base_config import get_base_config
 from cognee.infrastructure.databases.graph import get_graph_engine
 
-from uuid import uuid4
-import pathlib
-from cognee.shared.exceptions import IngestionError
 
 # Analytics Proxy Url, currently hosted by Vercel
 proxy_url = "https://test.prometh.ai"
@@ -102,182 +97,6 @@ def send_telemetry(event_name: str, user_id, additional_properties: dict = {}):
         print(f"Error sending telemetry through proxy: {response.status_code}")
 
 
-def get_file_content_hash(file_obj: Union[str, BinaryIO]) -> str:
-    h = hashlib.md5()
-
-    try:
-        if isinstance(file_obj, str):
-            with open(file_obj, "rb") as file:
-                while True:
-                    # Reading is buffered, so we can read smaller chunks.
-                    chunk = file.read(h.block_size)
-                    if not chunk:
-                        break
-                    h.update(chunk)
-        else:
-            while True:
-                # Reading is buffered, so we can read smaller chunks.
-                chunk = file_obj.read(h.block_size)
-                if not chunk:
-                    break
-                h.update(chunk)
-
-        return h.hexdigest()
-    except IOError as e:
-        raise IngestionError(message=f"Failed to load data from {file}: {e}")
-
-
-def generate_color_palette(unique_layers):
-    colormap = plt.cm.get_cmap("viridis", len(unique_layers))
-    colors = [colormap(i) for i in range(len(unique_layers))]
-    hex_colors = [
-        "#%02x%02x%02x" % (int(rgb[0] * 255), int(rgb[1] * 255), int(rgb[2] * 255))
-        for rgb in colors
-    ]
-
-    return dict(zip(unique_layers, hex_colors))
-
-
-async def register_graphistry():
-    config = get_base_config()
-    graphistry.register(
-        api=3, username=config.graphistry_username, password=config.graphistry_password
-    )
-
-
-def prepare_edges(graph, source, target, edge_key):
-    edge_list = [
-        {
-            source: str(edge[0]),
-            target: str(edge[1]),
-            edge_key: str(edge[2]),
-        }
-        for edge in graph.edges(keys=True, data=True)
-    ]
-
-    return pd.DataFrame(edge_list)
-
-
-def prepare_nodes(graph, include_size=False):
-    nodes_data = []
-    for node in graph.nodes:
-        node_info = graph.nodes[node]
-
-        if not node_info:
-            continue
-
-        node_data = {
-            **node_info,
-            "id": str(node),
-            "name": node_info["name"] if "name" in node_info else str(node),
-        }
-
-        if include_size:
-            default_size = 10  # Default node size
-            larger_size = 20  # Size for nodes with specific keywords in their ID
-            keywords = ["DOCUMENT", "User"]
-            node_size = (
-                larger_size if any(keyword in str(node) for keyword in keywords) else default_size
-            )
-            node_data["size"] = node_size
-
-        nodes_data.append(node_data)
-
-    return pd.DataFrame(nodes_data)
-
-
-async def render_graph(
-    graph=None, include_nodes=True, include_color=False, include_size=False, include_labels=True
-):
-    await register_graphistry()
-
-    if not isinstance(graph, nx.MultiDiGraph):
-        graph_engine = await get_graph_engine()
-        networkx_graph = nx.MultiDiGraph()
-
-        (nodes, edges) = await graph_engine.get_graph_data()
-
-        networkx_graph.add_nodes_from(nodes)
-        networkx_graph.add_edges_from(edges)
-
-        graph = networkx_graph
-
-    edges = prepare_edges(graph, "source_node", "target_node", "relationship_name")
-    plotter = graphistry.edges(edges, "source_node", "target_node")
-    plotter = plotter.bind(edge_label="relationship_name")
-
-    if include_nodes:
-        nodes = prepare_nodes(graph, include_size=include_size)
-        plotter = plotter.nodes(nodes, "id")
-
-        if include_size:
-            plotter = plotter.bind(point_size="size")
-
-        if include_color:
-            pass
-            # unique_layers = nodes["layer_description"].unique()
-            # color_palette = generate_color_palette(unique_layers)
-            # plotter = plotter.encode_point_color("layer_description", categorical_mapping=color_palette,
-            #                                      default_mapping="silver")
-
-        if include_labels:
-            plotter = plotter.bind(point_label="name")
-
-    # Visualization
-    url = plotter.plot(render=False, as_files=True, memoize=False)
-    print(f"Graph is visualized at: {url}")
-    return url
-
-
-# def sanitize_df(df):
-#     """Replace NaNs and infinities in a DataFrame with None, making it JSON compliant."""
-#     return df.replace([np.inf, -np.inf, np.nan], None)
-
-
-async def convert_to_serializable_graph(G):
-    """
-    Convert a graph into a serializable format with stringified node and edge attributes.
-    """
-
-    (nodes, edges) = G
-
-    networkx_graph = nx.MultiDiGraph()
-    networkx_graph.add_nodes_from(nodes)
-    networkx_graph.add_edges_from(edges)
-
-    # Create a new graph to store the serializable version
-    new_G = nx.MultiDiGraph()
-
-    # Serialize nodes
-    for node, data in networkx_graph.nodes(data=True):
-        serializable_data = {k: str(v) for k, v in data.items()}
-        new_G.add_node(str(node), **serializable_data)
-
-    # Serialize edges
-    for u, v, data in networkx_graph.edges(data=True):
-        serializable_data = {k: str(v) for k, v in data.items()}
-        new_G.add_edge(str(u), str(v), **serializable_data)
-
-    return new_G
-
-
-def generate_layout_positions(G, layout_func, layout_scale):
-    """
-    Generate layout positions for the graph using the specified layout function.
-    """
-    positions = layout_func(G)
-    return {str(node): (x * layout_scale, y * layout_scale) for node, (x, y) in positions.items()}
-
-
-def assign_node_colors(G, node_attribute, palette):
-    """
-    Assign colors to nodes based on a specified attribute and a given palette.
-    """
-    unique_attrs = set(G.nodes[node].get(node_attribute, "Unknown") for node in G.nodes)
-    color_map = {attr: palette[i % len(palette)] for i, attr in enumerate(unique_attrs)}
-    return [color_map[G.nodes[node].get(node_attribute, "Unknown")] for node in G.nodes], color_map
-
-
 def embed_logo(p, layout_scale, logo_alpha, position):
     """
     Embed a logo into the graph visualization as a watermark.
@@ -307,18 +126,6 @@ def embed_logo(p, layout_scale, logo_alpha, position):
     )
 
 
-def graph_to_tuple(graph):
-    """
-    Converts a networkx graph to a tuple of (nodes, edges).
-
-    :param graph: A networkx graph.
-    :return: A tuple (nodes, edges).
-    """
-    nodes = list(graph.nodes(data=True))  # Get nodes with attributes
-    edges = list(graph.edges(data=True))  # Get edges with attributes
-    return (nodes, edges)
-
-
 def start_visualization_server(
     host="0.0.0.0", port=8001, handler_class=http.server.SimpleHTTPRequestHandler
 ):
diff --git a/cognee/tasks/documents/extract_chunks_from_documents.py b/cognee/tasks/documents/extract_chunks_from_documents.py
index d0a698061..1d1870d98 100644
--- a/cognee/tasks/documents/extract_chunks_from_documents.py
+++ b/cognee/tasks/documents/extract_chunks_from_documents.py
@@ -1,11 +1,11 @@
+from uuid import UUID
+from sqlalchemy import select
 from typing import AsyncGenerator
 
 from cognee.shared.logging_utils import get_logger
 from cognee.modules.data.processing.document_types.Document import Document
-from sqlalchemy import select
 from cognee.modules.data.models import Data
 from cognee.infrastructure.databases.relational import get_relational_engine
-from uuid import UUID
 from cognee.modules.chunking.TextChunker import TextChunker
 from cognee.modules.chunking.Chunker import Chunker
 from cognee.modules.data.processing.document_types.exceptions.exceptions import PyPdfInternalError
@@ -41,7 +41,9 @@ async def extract_chunks_from_documents(
     for document in documents:
         document_token_count = 0
         try:
-            for document_chunk in document.read(max_chunk_size=max_chunk_size, chunker_cls=chunker):
+            async for document_chunk in document.read(
+                max_chunk_size=max_chunk_size, chunker_cls=chunker
+            ):
                 document_token_count += document_chunk.chunk_size
                 document_chunk.belongs_to_set = document.belongs_to_set
                 yield document_chunk
diff --git a/cognee/tasks/graph/infer_data_ontology.py b/cognee/tasks/graph/infer_data_ontology.py
index 23ede6656..a699249c2 100644
--- a/cognee/tasks/graph/infer_data_ontology.py
+++ b/cognee/tasks/graph/infer_data_ontology.py
@@ -13,7 +13,7 @@ import aiofiles
 import pandas as pd
 from pydantic import BaseModel
 
-from cognee.modules.graph.exceptions import EntityNotFoundError, EntityAlreadyExistsError
+from cognee.modules.graph.exceptions import EntityNotFoundError
 from cognee.modules.ingestion.exceptions import IngestionError
 from cognee.infrastructure.llm.prompts import read_query_prompt
 from cognee.infrastructure.llm.get_llm_client import get_llm_client
diff --git a/cognee/tasks/ingestion/ingest_data.py b/cognee/tasks/ingestion/ingest_data.py
index 48120b489..846c183d4 100644
--- a/cognee/tasks/ingestion/ingest_data.py
+++ b/cognee/tasks/ingestion/ingest_data.py
@@ -1,9 +1,11 @@
 import json
 import inspect
+from os import path
 from uuid import UUID
 from typing import Union, BinaryIO, Any, List, Optional
 
 import cognee.modules.ingestion as ingestion
+from cognee.infrastructure.files.utils.open_data_file import open_data_file
 from cognee.infrastructure.databases.relational import get_relational_engine
 from cognee.modules.data.models import Data
 from cognee.modules.users.models import User
@@ -18,9 +20,6 @@ from cognee.modules.data.methods import (
 from .save_data_item_to_storage import save_data_item_to_storage
 
 
-from cognee.api.v1.add.config import get_s3_config
-
-
 async def ingest_data(
     data: Any,
     dataset_name: str,
@@ -31,23 +30,6 @@ async def ingest_data(
     if not user:
         user = await get_default_user()
 
-    s3_config = get_s3_config()
-
-    fs = None
-    if s3_config.aws_access_key_id is not None and s3_config.aws_secret_access_key is not None:
-        import s3fs
-
-        fs = s3fs.S3FileSystem(
-            key=s3_config.aws_access_key_id, secret=s3_config.aws_secret_access_key, anon=False
-        )
-
-    def open_data_file(file_path: str):
-        if file_path.startswith("s3://"):
-            return fs.open(file_path, mode="rb")
-        else:
-            local_path = file_path.replace("file://", "")
-            return open(local_path, mode="rb")
-
     def get_external_metadata_dict(data_item: Union[BinaryIO, str, Any]) -> dict[str, Any]:
         if hasattr(data_item, "dict") and inspect.ismethod(getattr(data_item, "dict")):
             return {"metadata": data_item.dict(), "origin": str(type(data_item))}
@@ -92,11 +74,11 @@ async def ingest_data(
         dataset_data_map = {str(data.id): True for data in dataset_data}
 
         for data_item in data:
-            file_path = await save_data_item_to_storage(data_item, dataset_name)
+            file_path = await save_data_item_to_storage(data_item)
 
             # Ingest data and add metadata
-            with open_data_file(file_path) as file:
-                classified_data = ingestion.classify(file, s3fs=fs)
+            async with open_data_file(file_path) as file:
+                classified_data = ingestion.classify(file)
 
                 # data_id is the hash of file contents + owner id to avoid duplicate data
                 data_id = ingestion.identify(classified_data, user)
diff --git a/cognee/tasks/ingestion/save_data_item_to_storage.py b/cognee/tasks/ingestion/save_data_item_to_storage.py
index 6585535dd..ecd407923 100644
--- a/cognee/tasks/ingestion/save_data_item_to_storage.py
+++ b/cognee/tasks/ingestion/save_data_item_to_storage.py
@@ -3,30 +3,49 @@ from typing import Union, BinaryIO, Any
 
 from cognee.modules.ingestion.exceptions import IngestionError
 from cognee.modules.ingestion import save_data_to_file
+from pydantic_settings import BaseSettings, SettingsConfigDict
 
 
-async def save_data_item_to_storage(data_item: Union[BinaryIO, str, Any], dataset_name: str) -> str:
+class SaveDataSettings(BaseSettings):
+    accept_local_file_path: bool = True
+
+    model_config = SettingsConfigDict(env_file=".env", extra="allow")
+
+
+settings = SaveDataSettings()
+
+
+async def save_data_item_to_storage(data_item: Union[BinaryIO, str, Any]) -> str:
     if "llama_index" in str(type(data_item)):
         # Dynamic import is used because the llama_index module is optional.
         from .transform_data import get_data_from_llama_index
 
-        file_path = get_data_from_llama_index(data_item, dataset_name)
+        file_path = await get_data_from_llama_index(data_item)
 
     # data is a file object coming from upload.
     elif hasattr(data_item, "file"):
-        file_path = save_data_to_file(data_item.file, filename=data_item.filename)
+        file_path = await save_data_to_file(data_item.file, filename=data_item.filename)
 
     elif isinstance(data_item, str):
-        if data_item.startswith("s3://"):
+        # data is s3 file or local file path
+        if data_item.startswith("s3://") or data_item.startswith("file://"):
             file_path = data_item
         # data is a file path
-        elif data_item.startswith("file://") or data_item.startswith("/"):
-            if os.getenv("ACCEPT_LOCAL_FILE_PATH", "true").lower() == "false":
+        elif data_item.startswith("/") or (
+            os.name == "nt" and len(data_item) > 1 and data_item[1] == ":"
+        ):
+            # Handle both Unix absolute paths (/path) and Windows absolute paths (C:\path)
+            if settings.accept_local_file_path:
+                # Normalize path separators before creating file URL
+                normalized_path = os.path.normpath(data_item)
+                # Use forward slashes in file URLs for consistency
+                url_path = normalized_path.replace(os.sep, "/")
+                file_path = "file://" + url_path
+            else:
                 raise IngestionError(message="Local files are not accepted.")
-            file_path = data_item.replace("file://", "")
         # data is text
         else:
-            file_path = save_data_to_file(data_item)
+            file_path = await save_data_to_file(data_item)
     else:
         raise IngestionError(message=f"Data type not supported: {type(data_item)}")
 
diff --git a/cognee/tasks/ingestion/transform_data.py b/cognee/tasks/ingestion/transform_data.py
index cd35364d7..50aae7a55 100644
--- a/cognee/tasks/ingestion/transform_data.py
+++ b/cognee/tasks/ingestion/transform_data.py
@@ -4,7 +4,7 @@ from cognee.modules.ingestion import save_data_to_file
 from typing import Union
 
 
-def get_data_from_llama_index(data_point: Union[Document, ImageDocument], dataset_name: str) -> str:
+async def get_data_from_llama_index(data_point: Union[Document, ImageDocument]) -> str:
     """
     Retrieve the file path based on the data point type.
 
@@ -17,7 +17,6 @@ def get_data_from_llama_index(data_point: Union[Document, ImageDocument], datase
 
         - data_point (Union[Document, ImageDocument]): An instance of Document or
           ImageDocument to extract data from.
-        - dataset_name (str): The name of the dataset associated with the data point.
 
     Returns:
     --------
@@ -29,11 +28,11 @@ def get_data_from_llama_index(data_point: Union[Document, ImageDocument], datase
     if isinstance(data_point, Document) and type(data_point) is Document:
         file_path = data_point.metadata.get("file_path")
         if file_path is None:
-            file_path = save_data_to_file(data_point.text)
+            file_path = await save_data_to_file(data_point.text)
             return file_path
         return file_path
     elif isinstance(data_point, ImageDocument) and type(data_point) is ImageDocument:
         if data_point.image_path is None:
-            file_path = save_data_to_file(data_point.text)
+            file_path = await save_data_to_file(data_point.text)
             return file_path
         return data_point.image_path
diff --git a/cognee/tests/get_graph_url.py b/cognee/tests/get_graph_url.py
deleted file mode 100644
index 1e0abbaf0..000000000
--- a/cognee/tests/get_graph_url.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import asyncio
-from cognee.shared.utils import render_graph
-from cognee.infrastructure.databases.graph import get_graph_engine
-
-if __name__ == "__main__":
-
-    async def main():
-        import os
-        import pathlib
-        import cognee
-
-        data_directory_path = str(
-            pathlib.Path(
-                os.path.join(pathlib.Path(__file__).parent, ".data_storage/test_library")
-            ).resolve()
-        )
-        cognee.config.data_root_directory(data_directory_path)
-        cognee_directory_path = str(
-            pathlib.Path(
-                os.path.join(pathlib.Path(__file__).parent, ".cognee_system/test_library")
-            ).resolve()
-        )
-        cognee.config.system_root_directory(cognee_directory_path)
-
-        graph_client = await get_graph_engine()
-        graph = graph_client.graph
-
-        graph_url = await render_graph(graph)
-
-        print(graph_url)
-
-    asyncio.run(main())
diff --git a/cognee/tests/integration/documents/AudioDocument_test.py b/cognee/tests/integration/documents/AudioDocument_test.py
index 10f3c2073..85a5be133 100644
--- a/cognee/tests/integration/documents/AudioDocument_test.py
+++ b/cognee/tests/integration/documents/AudioDocument_test.py
@@ -1,8 +1,11 @@
+import sys
 import uuid
+import pytest
 from unittest.mock import patch
+
 from cognee.modules.chunking.TextChunker import TextChunker
 from cognee.modules.data.processing.document_types.AudioDocument import AudioDocument
-import sys
+from cognee.tests.integration.documents.async_gen_zip import async_gen_zip
 
 chunk_by_sentence_module = sys.modules.get("cognee.tasks.chunks.chunk_by_sentence")
 
@@ -38,7 +41,8 @@ TEST_TEXT = """
 @patch.object(
     chunk_by_sentence_module, "get_embedding_engine", side_effect=mock_get_embedding_engine
 )
-def test_AudioDocument(mock_engine):
+@pytest.mark.asyncio
+async def test_AudioDocument(mock_engine):
     document = AudioDocument(
         id=uuid.uuid4(),
         name="audio-dummy-test",
@@ -47,7 +51,7 @@ def test_AudioDocument(mock_engine):
         mime_type="",
     )
     with patch.object(AudioDocument, "create_transcript", return_value=TEST_TEXT):
-        for ground_truth, paragraph_data in zip(
+        async for ground_truth, paragraph_data in async_gen_zip(
             GROUND_TRUTH,
             document.read(chunker_cls=TextChunker, max_chunk_size=64),
         ):
diff --git a/cognee/tests/integration/documents/ImageDocument_test.py b/cognee/tests/integration/documents/ImageDocument_test.py
index 557842253..92b22761e 100644
--- a/cognee/tests/integration/documents/ImageDocument_test.py
+++ b/cognee/tests/integration/documents/ImageDocument_test.py
@@ -1,9 +1,12 @@
+import sys
 import uuid
+import pytest
 from unittest.mock import patch
+
 from cognee.modules.chunking.TextChunker import TextChunker
 from cognee.modules.data.processing.document_types.ImageDocument import ImageDocument
 from cognee.tests.integration.documents.AudioDocument_test import mock_get_embedding_engine
-import sys
+from cognee.tests.integration.documents.async_gen_zip import async_gen_zip
 
 chunk_by_sentence_module = sys.modules.get("cognee.tasks.chunks.chunk_by_sentence")
 
@@ -21,7 +24,8 @@ The commotion has attracted an audience: a murder of crows has gathered in the l
 @patch.object(
     chunk_by_sentence_module, "get_embedding_engine", side_effect=mock_get_embedding_engine
 )
-def test_ImageDocument(mock_engine):
+@pytest.mark.asyncio
+async def test_ImageDocument(mock_engine):
     document = ImageDocument(
         id=uuid.uuid4(),
         name="image-dummy-test",
@@ -30,7 +34,7 @@ def test_ImageDocument(mock_engine):
         mime_type="",
     )
     with patch.object(ImageDocument, "transcribe_image", return_value=TEST_TEXT):
-        for ground_truth, paragraph_data in zip(
+        async for ground_truth, paragraph_data in async_gen_zip(
             GROUND_TRUTH,
             document.read(chunker_cls=TextChunker, max_chunk_size=64),
         ):
diff --git a/cognee/tests/integration/documents/PdfDocument_test.py b/cognee/tests/integration/documents/PdfDocument_test.py
index 7ccf82fe3..3e1632aac 100644
--- a/cognee/tests/integration/documents/PdfDocument_test.py
+++ b/cognee/tests/integration/documents/PdfDocument_test.py
@@ -1,10 +1,13 @@
 import os
+import sys
 import uuid
+import pytest
+from unittest.mock import patch
+
 from cognee.modules.chunking.TextChunker import TextChunker
 from cognee.modules.data.processing.document_types.PdfDocument import PdfDocument
 from cognee.tests.integration.documents.AudioDocument_test import mock_get_embedding_engine
-from unittest.mock import patch
-import sys
+from cognee.tests.integration.documents.async_gen_zip import async_gen_zip
 
 chunk_by_sentence_module = sys.modules.get("cognee.tasks.chunks.chunk_by_sentence")
 
@@ -18,7 +21,8 @@ GROUND_TRUTH = [
 @patch.object(
     chunk_by_sentence_module, "get_embedding_engine", side_effect=mock_get_embedding_engine
 )
-def test_PdfDocument(mock_engine):
+@pytest.mark.asyncio
+async def test_PdfDocument(mock_engine):
     test_file_path = os.path.join(
         os.sep,
         *(os.path.dirname(__file__).split(os.sep)[:-2]),
@@ -33,7 +37,7 @@ def test_PdfDocument(mock_engine):
         mime_type="",
     )
 
-    for ground_truth, paragraph_data in zip(
+    async for ground_truth, paragraph_data in async_gen_zip(
         GROUND_TRUTH, document.read(chunker_cls=TextChunker, max_chunk_size=1024)
     ):
         assert ground_truth["word_count"] == paragraph_data.chunk_size, (
diff --git a/cognee/tests/integration/documents/TextDocument_test.py b/cognee/tests/integration/documents/TextDocument_test.py
index 2b9a6ef38..d3a624a4d 100644
--- a/cognee/tests/integration/documents/TextDocument_test.py
+++ b/cognee/tests/integration/documents/TextDocument_test.py
@@ -1,12 +1,13 @@
 import os
+import sys
 import uuid
-
 import pytest
+from unittest.mock import patch
+
 from cognee.modules.chunking.TextChunker import TextChunker
 from cognee.modules.data.processing.document_types.TextDocument import TextDocument
-from unittest.mock import patch
 from cognee.tests.integration.documents.AudioDocument_test import mock_get_embedding_engine
-import sys
+from cognee.tests.integration.documents.async_gen_zip import async_gen_zip
 
 chunk_by_sentence_module = sys.modules.get("cognee.tasks.chunks.chunk_by_sentence")
 
@@ -30,7 +31,8 @@ GROUND_TRUTH = {
 @patch.object(
     chunk_by_sentence_module, "get_embedding_engine", side_effect=mock_get_embedding_engine
 )
-def test_TextDocument(mock_engine, input_file, chunk_size):
+@pytest.mark.asyncio
+async def test_TextDocument(mock_engine, input_file, chunk_size):
     test_file_path = os.path.join(
         os.sep,
         *(os.path.dirname(__file__).split(os.sep)[:-2]),
@@ -45,7 +47,7 @@ def test_TextDocument(mock_engine, input_file, chunk_size):
         mime_type="",
     )
 
-    for ground_truth, paragraph_data in zip(
+    async for ground_truth, paragraph_data in async_gen_zip(
         GROUND_TRUTH[input_file],
         document.read(chunker_cls=TextChunker, max_chunk_size=chunk_size),
     ):
diff --git a/cognee/tests/integration/documents/UnstructuredDocument_test.py b/cognee/tests/integration/documents/UnstructuredDocument_test.py
index ef47a6884..0df1987b1 100644
--- a/cognee/tests/integration/documents/UnstructuredDocument_test.py
+++ b/cognee/tests/integration/documents/UnstructuredDocument_test.py
@@ -1,10 +1,12 @@
 import os
+import sys
 import uuid
+import pytest
 from unittest.mock import patch
+
 from cognee.modules.chunking.TextChunker import TextChunker
 from cognee.modules.data.processing.document_types.UnstructuredDocument import UnstructuredDocument
 from cognee.tests.integration.documents.AudioDocument_test import mock_get_embedding_engine
-import sys
 
 chunk_by_sentence_module = sys.modules.get("cognee.tasks.chunks.chunk_by_sentence")
 
@@ -12,7 +14,8 @@ chunk_by_sentence_module = sys.modules.get("cognee.tasks.chunks.chunk_by_sentenc
 @patch.object(
     chunk_by_sentence_module, "get_embedding_engine", side_effect=mock_get_embedding_engine
 )
-def test_UnstructuredDocument(mock_engine):
+@pytest.mark.asyncio
+async def test_UnstructuredDocument(mock_engine):
     # Define file paths of test data
     pptx_file_path = os.path.join(
         os.sep,
@@ -76,7 +79,7 @@ def test_UnstructuredDocument(mock_engine):
     )
 
     # Test PPTX
-    for paragraph_data in pptx_document.read(chunker_cls=TextChunker, max_chunk_size=1024):
+    async for paragraph_data in pptx_document.read(chunker_cls=TextChunker, max_chunk_size=1024):
         assert 19 == paragraph_data.chunk_size, f" 19 != {paragraph_data.chunk_size = }"
         assert 104 == len(paragraph_data.text), f" 104 != {len(paragraph_data.text) = }"
         assert "sentence_cut" == paragraph_data.cut_type, (
@@ -84,7 +87,7 @@ def test_UnstructuredDocument(mock_engine):
         )
 
     # Test DOCX
-    for paragraph_data in docx_document.read(chunker_cls=TextChunker, max_chunk_size=1024):
+    async for paragraph_data in docx_document.read(chunker_cls=TextChunker, max_chunk_size=1024):
         assert 16 == paragraph_data.chunk_size, f" 16 != {paragraph_data.chunk_size = }"
         assert 145 == len(paragraph_data.text), f" 145 != {len(paragraph_data.text) = }"
         assert "sentence_end" == paragraph_data.cut_type, (
@@ -92,7 +95,7 @@ def test_UnstructuredDocument(mock_engine):
         )
 
     # TEST CSV
-    for paragraph_data in csv_document.read(chunker_cls=TextChunker, max_chunk_size=1024):
+    async for paragraph_data in csv_document.read(chunker_cls=TextChunker, max_chunk_size=1024):
         assert 15 == paragraph_data.chunk_size, f" 15 != {paragraph_data.chunk_size = }"
         assert "A A A A A A A A A,A A A A A A,A A" == paragraph_data.text, (
             f"Read text doesn't match expected text: {paragraph_data.text}"
@@ -102,7 +105,7 @@ def test_UnstructuredDocument(mock_engine):
         )
 
     # Test XLSX
-    for paragraph_data in xlsx_document.read(chunker_cls=TextChunker, max_chunk_size=1024):
+    async for paragraph_data in xlsx_document.read(chunker_cls=TextChunker, max_chunk_size=1024):
         assert 36 == paragraph_data.chunk_size, f" 36 != {paragraph_data.chunk_size = }"
         assert 171 == len(paragraph_data.text), f" 171 != {len(paragraph_data.text) = }"
         assert "sentence_cut" == paragraph_data.cut_type, (
diff --git a/cognee/tests/integration/documents/async_gen_zip.py b/cognee/tests/integration/documents/async_gen_zip.py
new file mode 100644
index 000000000..332407e9d
--- /dev/null
+++ b/cognee/tests/integration/documents/async_gen_zip.py
@@ -0,0 +1,12 @@
+async def async_gen_zip(iterable1, async_iterable2):
+    it1 = iter(iterable1)
+    it2 = async_iterable2.__aiter__()
+
+    while True:
+        try:
+            val1 = next(it1)
+            val2 = await it2.__anext__()
+
+            yield val1, val2
+        except (StopIteration, StopAsyncIteration):
+            break
diff --git a/cognee/tests/test_chromadb.py b/cognee/tests/test_chromadb.py
index 171925b21..cf4046c07 100644
--- a/cognee/tests/test_chromadb.py
+++ b/cognee/tests/test_chromadb.py
@@ -1,8 +1,9 @@
 import os
-from cognee.shared.logging_utils import get_logger
 import pathlib
-import cognee
 
+import cognee
+from cognee.shared.logging_utils import get_logger
+from cognee.infrastructure.files.storage import get_storage_config
 from cognee.modules.data.models import Data
 from cognee.modules.users.methods import get_default_user
 from cognee.modules.search.types import SearchType
@@ -24,12 +25,12 @@ async def test_local_file_deletion(data_text, file_location):
         data_hash = hashlib.md5(encoded_text).hexdigest()
         # Get data entry from database based on hash contents
         data = (await session.scalars(select(Data).where(Data.content_hash == data_hash))).one()
-        assert os.path.isfile(data.raw_data_location), (
+        assert os.path.isfile(data.raw_data_location.replace("file://", "")), (
             f"Data location doesn't exist: {data.raw_data_location}"
         )
         # Test deletion of data along with local files created by cognee
         await engine.delete_data_entity(data.id)
-        assert not os.path.exists(data.raw_data_location), (
+        assert not os.path.exists(data.raw_data_location.replace("file://", "")), (
             f"Data location still exists after deletion: {data.raw_data_location}"
         )
 
@@ -38,12 +39,12 @@ async def test_local_file_deletion(data_text, file_location):
         data = (
             await session.scalars(select(Data).where(Data.raw_data_location == file_location))
         ).one()
-        assert os.path.isfile(data.raw_data_location), (
+        assert os.path.isfile(data.raw_data_location.replace("file://", "")), (
             f"Data location doesn't exist: {data.raw_data_location}"
         )
         # Test local files not created by cognee won't get deleted
         await engine.delete_data_entity(data.id)
-        assert os.path.exists(data.raw_data_location), (
+        assert os.path.exists(data.raw_data_location.replace("file://", "")), (
             f"Data location doesn't exists: {data.raw_data_location}"
         )
 
@@ -157,7 +158,8 @@ async def main():
     assert len(history) == 8, "Search history is not correct."
 
     await cognee.prune.prune_data()
-    assert not os.path.isdir(data_directory_path), "Local data files are not deleted"
+    data_root_directory = get_storage_config()["data_root_directory"]
+    assert not os.path.isdir(data_root_directory), "Local data files are not deleted"
 
     await cognee.prune.prune_system(metadata=True)
     tables_in_database = await vector_engine.get_collection_names()
diff --git a/cognee/tests/test_custom_model.py b/cognee/tests/test_custom_model.py
index fb91c279e..cdf41d605 100755
--- a/cognee/tests/test_custom_model.py
+++ b/cognee/tests/test_custom_model.py
@@ -5,7 +5,6 @@ from cognee.modules.search.operations import get_history
 from cognee.modules.users.methods import get_default_user
 from cognee.shared.logging_utils import get_logger
 from cognee.modules.search.types import SearchType
-from cognee.shared.utils import render_graph
 from cognee.low_level import DataPoint
 
 logger = get_logger()
@@ -57,9 +56,6 @@ async def main():
 
     await cognee.cognify(graph_model=ProgrammingLanguage)
 
-    url = await render_graph()
-    print(f"Graphistry URL: {url}")
-
     graph_file_path = str(
         pathlib.Path(
             os.path.join(
diff --git a/cognee/tests/test_deduplication.py b/cognee/tests/test_deduplication.py
index 5eaccd377..c449719c7 100644
--- a/cognee/tests/test_deduplication.py
+++ b/cognee/tests/test_deduplication.py
@@ -2,6 +2,7 @@ import hashlib
 import os
 from cognee.shared.logging_utils import get_logger
 import pathlib
+import pytest
 
 import cognee
 from cognee.infrastructure.databases.relational import get_relational_engine
@@ -101,6 +102,7 @@ async def test_deduplication():
     await cognee.prune.prune_system(metadata=True)
 
 
+@pytest.mark.asyncio
 async def test_deduplication_postgres():
     cognee.config.set_vector_db_config(
         {"vector_db_url": "", "vector_db_key": "", "vector_db_provider": "pgvector"}
@@ -119,6 +121,7 @@ async def test_deduplication_postgres():
     await test_deduplication()
 
 
+@pytest.mark.asyncio
 async def test_deduplication_sqlite():
     cognee.config.set_vector_db_config(
         {"vector_db_url": "", "vector_db_key": "", "vector_db_provider": "lancedb"}
diff --git a/cognee/tests/test_falkordb.py b/cognee/tests/test_falkordb.py
index 0407cfbec..bf354da41 100755
--- a/cognee/tests/test_falkordb.py
+++ b/cognee/tests/test_falkordb.py
@@ -1,11 +1,11 @@
 import os
 import cognee
 import pathlib
+from cognee.infrastructure.files.storage import get_storage_config
 from cognee.modules.search.operations import get_history
 from cognee.modules.users.methods import get_default_user
 from cognee.shared.logging_utils import get_logger
 from cognee.modules.search.types import SearchType
-# from cognee.shared.utils import render_graph
 
 logger = get_logger()
 
@@ -44,8 +44,6 @@ async def main():
 
     await cognee.cognify([dataset_name])
 
-    # await render_graph(None, include_labels = True, include_nodes = True)
-
     from cognee.infrastructure.databases.vector import get_vector_engine
 
     vector_engine = get_vector_engine()
@@ -81,7 +79,8 @@ async def main():
 
     # Assert local data files are cleaned properly
     await cognee.prune.prune_data()
-    assert not os.path.isdir(data_directory_path), "Local data files are not deleted"
+    data_root_directory = get_storage_config()["data_root_directory"]
+    assert not os.path.isdir(data_root_directory), "Local data files are not deleted"
 
     # Assert relational, vector and graph databases have been cleaned properly
     await cognee.prune.prune_system(metadata=True)
diff --git a/cognee/tests/test_kuzu.py b/cognee/tests/test_kuzu.py
index c2a2389ab..d60c6085e 100644
--- a/cognee/tests/test_kuzu.py
+++ b/cognee/tests/test_kuzu.py
@@ -3,6 +3,7 @@ import shutil
 import cognee
 import pathlib
 
+from cognee.infrastructure.files.storage import get_storage_config
 from cognee.modules.engine.models import NodeSet
 from cognee.modules.retrieval.graph_completion_retriever import GraphCompletionRetriever
 from cognee.shared.logging_utils import get_logger
@@ -112,7 +113,8 @@ async def main():
         )
 
         await cognee.prune.prune_data()
-        assert not os.path.isdir(data_directory_path), "Local data files are not deleted"
+        data_root_directory = get_storage_config()["data_root_directory"]
+        assert not os.path.isdir(data_root_directory), "Local data files are not deleted"
 
         await cognee.prune.prune_system(metadata=True)
         from cognee.infrastructure.databases.graph import get_graph_engine
diff --git a/cognee/tests/test_library.py b/cognee/tests/test_library.py
index 7dd5c5a67..c5e6cc64b 100755
--- a/cognee/tests/test_library.py
+++ b/cognee/tests/test_library.py
@@ -1,6 +1,7 @@
 import os
 import pathlib
 import cognee
+from cognee.infrastructure.files.storage import get_file_storage, get_storage_config
 from cognee.modules.search.operations import get_history
 from cognee.modules.users.methods import get_default_user
 from cognee.shared.logging_utils import get_logger
@@ -78,7 +79,8 @@ async def main():
 
     # Assert local data files are cleaned properly
     await cognee.prune.prune_data()
-    assert not os.path.isdir(data_directory_path), "Local data files are not deleted"
+    data_root_directory = get_storage_config()["data_root_directory"]
+    assert not os.path.isdir(data_root_directory), "Local data files are not deleted"
 
     # Assert relational, vector and graph databases have been cleaned properly
     await cognee.prune.prune_system(metadata=True)
@@ -89,16 +91,28 @@ async def main():
 
     from cognee.infrastructure.databases.relational import get_relational_engine
 
-    with open(get_relational_engine().db_path, "r") as file:
-        content = file.read()
-        assert content == "", "SQLite relational database is not empty"
+    db_path = get_relational_engine().db_path
+    dir_path = os.path.dirname(db_path)
+    file_path = os.path.basename(db_path)
+    file_storage = get_file_storage(dir_path)
+
+    assert not await file_storage.file_exists(file_path), (
+        "SQLite relational database is not deleted"
+    )
 
     from cognee.infrastructure.databases.graph import get_graph_config
 
     graph_config = get_graph_config()
-    assert not os.path.exists(graph_config.graph_file_path) or not os.listdir(
-        graph_config.graph_file_path
-    ), "Kuzu graph directory is not empty"
+    # For Kuzu v0.11.0+, check if database file doesn't exist (single-file format with .kuzu extension)
+    # For older versions or other providers, check if directory is empty
+    if graph_config.graph_database_provider.lower() == "kuzu":
+        assert not os.path.exists(graph_config.graph_file_path), (
+            "Kuzu graph database file still exists"
+        )
+    else:
+        assert not os.path.exists(graph_config.graph_file_path) or not os.listdir(
+            graph_config.graph_file_path
+        ), "Graph database directory is not empty"
 
 
 if __name__ == "__main__":
diff --git a/cognee/tests/test_memgraph.py b/cognee/tests/test_memgraph.py
index 49f3e08db..b21cf3735 100644
--- a/cognee/tests/test_memgraph.py
+++ b/cognee/tests/test_memgraph.py
@@ -2,6 +2,7 @@ import os
 
 import pathlib
 import cognee
+from cognee.infrastructure.files.storage import get_storage_config
 from cognee.modules.search.operations import get_history
 from cognee.modules.users.methods import get_default_user
 from cognee.shared.logging_utils import get_logger
@@ -91,7 +92,8 @@ async def main():
     assert len(history) == 8, "Search history is not correct."
 
     await cognee.prune.prune_data()
-    assert not os.path.isdir(data_directory_path), "Local data files are not deleted"
+    data_root_directory = get_storage_config()["data_root_directory"]
+    assert not os.path.isdir(data_root_directory), "Local data files are not deleted"
 
     await cognee.prune.prune_system(metadata=True)
     from cognee.infrastructure.databases.graph import get_graph_engine
diff --git a/cognee/tests/test_milvus.py b/cognee/tests/test_milvus.py
index ce6d73ff3..07d602524 100644
--- a/cognee/tests/test_milvus.py
+++ b/cognee/tests/test_milvus.py
@@ -1,6 +1,7 @@
 import os
 import pathlib
 import cognee
+from cognee.infrastructure.files.storage import get_storage_config
 from cognee.modules.search.operations import get_history
 from cognee.modules.users.methods import get_default_user
 from cognee.shared.logging_utils import get_logger
@@ -87,7 +88,8 @@ async def main():
     assert len(history) == 6, "Search history is not correct."
 
     await cognee.prune.prune_data()
-    assert not os.path.isdir(data_directory_path), "Local data files are not deleted"
+    data_root_directory = get_storage_config()["data_root_directory"]
+    assert not os.path.isdir(data_root_directory), "Local data files are not deleted"
 
     await cognee.prune.prune_system(metadata=True)
     milvus_client = get_vector_engine().get_milvus_client()
diff --git a/cognee/tests/test_neo4j.py b/cognee/tests/test_neo4j.py
index 1d4af2b2c..dcbb38963 100644
--- a/cognee/tests/test_neo4j.py
+++ b/cognee/tests/test_neo4j.py
@@ -1,6 +1,7 @@
 import os
 import pathlib
 import cognee
+from cognee.infrastructure.files.storage import get_storage_config
 from cognee.modules.retrieval.graph_completion_retriever import GraphCompletionRetriever
 from cognee.modules.search.operations import get_history
 from cognee.modules.users.methods import get_default_user
@@ -116,7 +117,8 @@ async def main():
     )
 
     await cognee.prune.prune_data()
-    assert not os.path.isdir(data_directory_path), "Local data files are not deleted"
+    data_root_directory = get_storage_config()["data_root_directory"]
+    assert not os.path.isdir(data_root_directory), "Local data files are not deleted"
 
     await cognee.prune.prune_system(metadata=True)
     from cognee.infrastructure.databases.graph import get_graph_engine
diff --git a/cognee/tests/test_pgvector.py b/cognee/tests/test_pgvector.py
index cb24ca64f..f08043ed5 100644
--- a/cognee/tests/test_pgvector.py
+++ b/cognee/tests/test_pgvector.py
@@ -1,6 +1,7 @@
 import os
 import pathlib
 import cognee
+from cognee.infrastructure.files.storage import get_storage_config
 from cognee.modules.search.operations import get_history
 from cognee.shared.logging_utils import get_logger
 from cognee.modules.data.models import Data
@@ -23,26 +24,28 @@ async def test_local_file_deletion(data_text, file_location):
         data_hash = hashlib.md5(encoded_text).hexdigest()
         # Get data entry from database based on hash contents
         data = (await session.scalars(select(Data).where(Data.content_hash == data_hash))).one()
-        assert os.path.isfile(data.raw_data_location), (
+        assert os.path.isfile(data.raw_data_location.replace("file://", "")), (
             f"Data location doesn't exist: {data.raw_data_location}"
         )
         # Test deletion of data along with local files created by cognee
         await engine.delete_data_entity(data.id)
-        assert not os.path.exists(data.raw_data_location), (
+        assert not os.path.exists(data.raw_data_location.replace("file://", "")), (
             f"Data location still exists after deletion: {data.raw_data_location}"
         )
 
     async with engine.get_async_session() as session:
         # Get data entry from database based on file path
         data = (
-            await session.scalars(select(Data).where(Data.raw_data_location == file_location))
+            await session.scalars(
+                select(Data).where(Data.raw_data_location == "file://" + file_location)
+            )
         ).one()
-        assert os.path.isfile(data.raw_data_location), (
+        assert os.path.isfile(data.raw_data_location.replace("file://", "")), (
             f"Data location doesn't exist: {data.raw_data_location}"
         )
         # Test local files not created by cognee won't get deleted
         await engine.delete_data_entity(data.id)
-        assert os.path.exists(data.raw_data_location), (
+        assert os.path.exists(data.raw_data_location.replace("file://", "")), (
             f"Data location doesn't exists: {data.raw_data_location}"
         )
 
@@ -164,7 +167,8 @@ async def main():
     await test_local_file_deletion(text, explanation_file_path)
 
     await cognee.prune.prune_data()
-    assert not os.path.isdir(data_directory_path), "Local data files are not deleted"
+    data_root_directory = get_storage_config()["data_root_directory"]
+    assert not os.path.isdir(data_root_directory), "Local data files are not deleted"
 
     await cognee.prune.prune_system(metadata=True)
     tables_in_database = await vector_engine.get_table_names()
diff --git a/cognee/tests/test_qdrant.py b/cognee/tests/test_qdrant.py
index 8d881e68f..94e1ac074 100644
--- a/cognee/tests/test_qdrant.py
+++ b/cognee/tests/test_qdrant.py
@@ -1,6 +1,7 @@
 import os
 import pathlib
 import cognee
+from cognee.infrastructure.files.storage import get_storage_config
 from cognee.modules.search.operations import get_history
 from cognee.modules.users.methods import get_default_user
 from cognee.shared.logging_utils import get_logger
@@ -83,7 +84,8 @@ async def main():
     assert len(history) == 6, "Search history is not correct."
 
     await cognee.prune.prune_data()
-    assert not os.path.isdir(data_directory_path), "Local data files are not deleted"
+    data_root_directory = get_storage_config()["data_root_directory"]
+    assert not os.path.isdir(data_root_directory), "Local data files are not deleted"
 
     await cognee.prune.prune_system(metadata=True)
     qdrant_client = get_vector_engine().get_qdrant_client()
diff --git a/cognee/tests/test_remote_kuzu.py b/cognee/tests/test_remote_kuzu.py
index ff089f27e..bbff48096 100644
--- a/cognee/tests/test_remote_kuzu.py
+++ b/cognee/tests/test_remote_kuzu.py
@@ -2,11 +2,11 @@ import os
 import shutil
 import cognee
 import pathlib
+from cognee.infrastructure.files.storage import get_storage_config
 from cognee.shared.logging_utils import get_logger
 from cognee.modules.search.types import SearchType
 from cognee.modules.search.operations import get_history
 from cognee.modules.users.methods import get_default_user
-from cognee.infrastructure.databases.graph.config import get_graph_config
 
 logger = get_logger()
 
@@ -93,7 +93,8 @@ async def main():
         assert len(history) == 6, "Search history is not correct."
 
         await cognee.prune.prune_data()
-        assert not os.path.isdir(data_directory_path), "Local data files are not deleted"
+        data_root_directory = get_storage_config()["data_root_directory"]
+        assert not os.path.isdir(data_root_directory), "Local data files are not deleted"
 
         await cognee.prune.prune_system(metadata=True)
         from cognee.infrastructure.databases.graph import get_graph_engine
diff --git a/cognee/tests/test_weaviate.py b/cognee/tests/test_weaviate.py
index 174b6b4f8..9a9be82eb 100644
--- a/cognee/tests/test_weaviate.py
+++ b/cognee/tests/test_weaviate.py
@@ -1,6 +1,7 @@
 import os
 import pathlib
 import cognee
+from cognee.infrastructure.files.storage import get_storage_config
 from cognee.modules.search.operations import get_history
 from cognee.modules.users.methods import get_default_user
 from cognee.shared.logging_utils import get_logger
@@ -79,7 +80,8 @@ async def main():
     assert len(history) == 6, "Search history is not correct."
 
     await cognee.prune.prune_data()
-    assert not os.path.isdir(data_directory_path), "Local data files are not deleted"
+    data_root_directory = get_storage_config()["data_root_directory"]
+    assert not os.path.isdir(data_root_directory), "Local data files are not deleted"
 
     await cognee.prune.prune_system(metadata=True)
     collections = await get_vector_engine().client.collections.list_all()
diff --git a/cognee/tests/unit/modules/data/test_open_data_file.py b/cognee/tests/unit/modules/data/test_open_data_file.py
index 8ad3ec813..c2ae4d2fe 100644
--- a/cognee/tests/unit/modules/data/test_open_data_file.py
+++ b/cognee/tests/unit/modules/data/test_open_data_file.py
@@ -2,13 +2,15 @@ import os
 import tempfile
 import pytest
 from pathlib import Path
-from cognee.modules.data.processing.document_types.open_data_file import open_data_file
+
+from cognee.infrastructure.files.utils.open_data_file import open_data_file
 
 
 class TestOpenDataFile:
     """Test cases for open_data_file function with file:// URL handling."""
 
-    def test_regular_file_path(self):
+    @pytest.mark.asyncio
+    async def test_regular_file_path(self):
         """Test that regular file paths work as before."""
         with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".txt") as f:
             test_content = "Test content for regular file path"
@@ -16,13 +18,14 @@ class TestOpenDataFile:
             temp_file_path = f.name
 
         try:
-            with open_data_file(temp_file_path, mode="r") as f:
+            async with open_data_file(temp_file_path, mode="r") as f:
                 content = f.read()
                 assert content == test_content
         finally:
             os.unlink(temp_file_path)
 
-    def test_file_url_text_mode(self):
+    @pytest.mark.asyncio
+    async def test_file_url_text_mode(self):
         """Test that file:// URLs work correctly in text mode."""
         with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".txt") as f:
             test_content = "Test content for file:// URL handling"
@@ -32,13 +35,14 @@ class TestOpenDataFile:
         try:
             # Use pathlib.Path.as_uri() for proper cross-platform file URL creation
             file_url = Path(temp_file_path).as_uri()
-            with open_data_file(file_url, mode="r") as f:
+            async with open_data_file(file_url, mode="r") as f:
                 content = f.read()
                 assert content == test_content
         finally:
             os.unlink(temp_file_path)
 
-    def test_file_url_binary_mode(self):
+    @pytest.mark.asyncio
+    async def test_file_url_binary_mode(self):
         """Test that file:// URLs work correctly in binary mode."""
         with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".txt") as f:
             test_content = "Test content for binary mode"
@@ -48,13 +52,14 @@ class TestOpenDataFile:
         try:
             # Use pathlib.Path.as_uri() for proper cross-platform file URL creation
             file_url = Path(temp_file_path).as_uri()
-            with open_data_file(file_url, mode="rb") as f:
+            async with open_data_file(file_url, mode="rb") as f:
                 content = f.read()
                 assert content == test_content.encode()
         finally:
             os.unlink(temp_file_path)
 
-    def test_file_url_with_encoding(self):
+    @pytest.mark.asyncio
+    async def test_file_url_with_encoding(self):
         """Test that file:// URLs work with specific encoding."""
         with tempfile.NamedTemporaryFile(
             mode="w", delete=False, suffix=".txt", encoding="utf-8"
@@ -66,20 +71,22 @@ class TestOpenDataFile:
         try:
             # Use pathlib.Path.as_uri() for proper cross-platform file URL creation
             file_url = Path(temp_file_path).as_uri()
-            with open_data_file(file_url, mode="r", encoding="utf-8") as f:
+            async with open_data_file(file_url, mode="r", encoding="utf-8") as f:
                 content = f.read()
                 assert content == test_content
         finally:
             os.unlink(temp_file_path)
 
-    def test_file_url_nonexistent_file(self):
+    @pytest.mark.asyncio
+    async def test_file_url_nonexistent_file(self):
         """Test that file:// URLs raise appropriate error for nonexistent files."""
         file_url = "file:///nonexistent/path/to/file.txt"
         with pytest.raises(FileNotFoundError):
-            with open_data_file(file_url, mode="r") as f:
+            async with open_data_file(file_url, mode="r") as f:
                 f.read()
 
-    def test_multiple_file_prefixes(self):
+    @pytest.mark.asyncio
+    async def test_multiple_file_prefixes(self):
         """Test that multiple file:// prefixes are handled correctly."""
         with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".txt") as f:
             test_content = "Test content"
@@ -91,7 +98,7 @@ class TestOpenDataFile:
             # Use proper file URL creation first
             proper_file_url = Path(temp_file_path).as_uri()
             file_url = f"file://{proper_file_url}"
-            with open_data_file(file_url, mode="r") as f:
+            async with open_data_file(file_url, mode="r") as f:
                 content = f.read()
                 # This should work because we only replace the first occurrence
                 assert content == test_content
diff --git a/cognee/tests/unit/modules/retrieval/chunks_retriever_test.py b/cognee/tests/unit/modules/retrieval/chunks_retriever_test.py
index a28885e8c..f763cafd6 100644
--- a/cognee/tests/unit/modules/retrieval/chunks_retriever_test.py
+++ b/cognee/tests/unit/modules/retrieval/chunks_retriever_test.py
@@ -16,11 +16,11 @@ class TestChunksRetriever:
     @pytest.mark.asyncio
     async def test_chunk_context_simple(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_chunks_context_simple"
+            pathlib.Path(__file__).parent, ".cognee_system/test_chunk_context_simple"
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_chunks_context_simple"
+            pathlib.Path(__file__).parent, ".data_storage/test_chunk_context_simple"
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -162,11 +162,11 @@ class TestChunksRetriever:
     @pytest.mark.asyncio
     async def test_chunk_context_on_empty_graph(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_chunk_context_empty"
+            pathlib.Path(__file__).parent, ".cognee_system/test_chunk_context_on_empty_graph"
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_chunk_context_empty"
+            pathlib.Path(__file__).parent, ".data_storage/test_chunk_context_on_empty_graph"
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -183,16 +183,3 @@ class TestChunksRetriever:
 
         context = await retriever.get_context("Christina Mayer")
         assert len(context) == 0, "Found chunks when none should exist"
-
-
-if __name__ == "__main__":
-    from asyncio import run
-
-    test = TestChunksRetriever()
-
-    async def main():
-        await test.test_chunk_context_simple()
-        await test.test_chunk_context_complex()
-        await test.test_chunk_context_on_empty_graph()
-
-    run(main())
diff --git a/cognee/tests/unit/modules/retrieval/graph_completion_retriever_context_extension_test.py b/cognee/tests/unit/modules/retrieval/graph_completion_retriever_context_extension_test.py
index 2e2f2e197..3e7f6626f 100644
--- a/cognee/tests/unit/modules/retrieval/graph_completion_retriever_context_extension_test.py
+++ b/cognee/tests/unit/modules/retrieval/graph_completion_retriever_context_extension_test.py
@@ -12,15 +12,17 @@ from cognee.modules.retrieval.graph_completion_context_extension_retriever impor
 )
 
 
-class TestGraphCompletionRetriever:
+class TestGraphCompletionWithContextExtensionRetriever:
     @pytest.mark.asyncio
     async def test_graph_completion_extension_context_simple(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_context"
+            pathlib.Path(__file__).parent,
+            ".cognee_system/test_graph_completion_extension_context_simple",
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_context"
+            pathlib.Path(__file__).parent,
+            ".data_storage/test_graph_completion_extension_context_simple",
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -64,11 +66,13 @@ class TestGraphCompletionRetriever:
     @pytest.mark.asyncio
     async def test_graph_completion_extension_context_complex(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_context"
+            pathlib.Path(__file__).parent,
+            ".cognee_system/test_graph_completion_extension_context_complex",
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_context"
+            pathlib.Path(__file__).parent,
+            ".data_storage/test_graph_completion_extension_context_complex",
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -143,11 +147,13 @@ class TestGraphCompletionRetriever:
     @pytest.mark.asyncio
     async def test_get_graph_completion_extension_context_on_empty_graph(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_context"
+            pathlib.Path(__file__).parent,
+            ".cognee_system/test_get_graph_completion_extension_context_on_empty_graph",
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_context"
+            pathlib.Path(__file__).parent,
+            ".data_storage/test_get_graph_completion_extension_context_on_empty_graph",
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -170,16 +176,3 @@ class TestGraphCompletionRetriever:
         assert all(isinstance(item, str) and item.strip() for item in answer), (
             "Answer must contain only non-empty strings"
         )
-
-
-if __name__ == "__main__":
-    from asyncio import run
-
-    test = TestGraphCompletionRetriever()
-
-    async def main():
-        await test.test_graph_completion_context_simple()
-        await test.test_graph_completion_context_complex()
-        await test.test_get_graph_completion_context_on_empty_graph()
-
-    run(main())
diff --git a/cognee/tests/unit/modules/retrieval/graph_completion_retriever_cot_test.py b/cognee/tests/unit/modules/retrieval/graph_completion_retriever_cot_test.py
index 5723afd4a..ff92dfd8f 100644
--- a/cognee/tests/unit/modules/retrieval/graph_completion_retriever_cot_test.py
+++ b/cognee/tests/unit/modules/retrieval/graph_completion_retriever_cot_test.py
@@ -10,15 +10,15 @@ from cognee.infrastructure.databases.exceptions import DatabaseNotCreatedError
 from cognee.modules.retrieval.graph_completion_cot_retriever import GraphCompletionCotRetriever
 
 
-class TestGraphCompletionRetriever:
+class TestGraphCompletionCoTRetriever:
     @pytest.mark.asyncio
     async def test_graph_completion_cot_context_simple(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_context"
+            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_cot_context_simple"
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_context"
+            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_cot_context_simple"
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -62,11 +62,12 @@ class TestGraphCompletionRetriever:
     @pytest.mark.asyncio
     async def test_graph_completion_cot_context_complex(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_context"
+            pathlib.Path(__file__).parent,
+            ".cognee_system/test_graph_completion_cot_context_complex",
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_context"
+            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_cot_context_complex"
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -141,11 +142,13 @@ class TestGraphCompletionRetriever:
     @pytest.mark.asyncio
     async def test_get_graph_completion_cot_context_on_empty_graph(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_context"
+            pathlib.Path(__file__).parent,
+            ".cognee_system/test_get_graph_completion_cot_context_on_empty_graph",
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_context"
+            pathlib.Path(__file__).parent,
+            ".data_storage/test_get_graph_completion_cot_context_on_empty_graph",
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -168,16 +171,3 @@ class TestGraphCompletionRetriever:
         assert all(isinstance(item, str) and item.strip() for item in answer), (
             "Answer must contain only non-empty strings"
         )
-
-
-if __name__ == "__main__":
-    from asyncio import run
-
-    test = TestGraphCompletionRetriever()
-
-    async def main():
-        await test.test_graph_completion_context_simple()
-        await test.test_graph_completion_context_complex()
-        await test.test_get_graph_completion_context_on_empty_graph()
-
-    run(main())
diff --git a/cognee/tests/unit/modules/retrieval/graph_completion_retriever_test.py b/cognee/tests/unit/modules/retrieval/graph_completion_retriever_test.py
index 2dc6ca6ce..27094fbf1 100644
--- a/cognee/tests/unit/modules/retrieval/graph_completion_retriever_test.py
+++ b/cognee/tests/unit/modules/retrieval/graph_completion_retriever_test.py
@@ -14,11 +14,11 @@ class TestGraphCompletionRetriever:
     @pytest.mark.asyncio
     async def test_graph_completion_context_simple(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_context"
+            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_context_simple"
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_context"
+            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_context_simple"
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -55,11 +55,11 @@ class TestGraphCompletionRetriever:
     @pytest.mark.asyncio
     async def test_graph_completion_context_complex(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_context"
+            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_context_complex"
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_context"
+            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_context_complex"
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -127,11 +127,13 @@ class TestGraphCompletionRetriever:
     @pytest.mark.asyncio
     async def test_get_graph_completion_context_on_empty_graph(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_context"
+            pathlib.Path(__file__).parent,
+            ".cognee_system/test_get_graph_completion_context_on_empty_graph",
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_context"
+            pathlib.Path(__file__).parent,
+            ".data_storage/test_get_graph_completion_context_on_empty_graph",
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -147,16 +149,3 @@ class TestGraphCompletionRetriever:
 
         context = await retriever.get_context("Who works at Figma?")
         assert context == "", "Context should be empty on an empty graph"
-
-
-if __name__ == "__main__":
-    from asyncio import run
-
-    test = TestGraphCompletionRetriever()
-
-    async def main():
-        await test.test_graph_completion_context_simple()
-        await test.test_graph_completion_context_complex()
-        await test.test_get_graph_completion_context_on_empty_graph()
-
-    run(main())
diff --git a/cognee/tests/unit/modules/retrieval/insights_retriever_test.py b/cognee/tests/unit/modules/retrieval/insights_retriever_test.py
index 693729380..21dbc98dd 100644
--- a/cognee/tests/unit/modules/retrieval/insights_retriever_test.py
+++ b/cognee/tests/unit/modules/retrieval/insights_retriever_test.py
@@ -227,11 +227,11 @@ class TestInsightsRetriever:
     @pytest.mark.asyncio
     async def test_insights_context_on_empty_graph(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_context_empty"
+            pathlib.Path(__file__).parent, ".cognee_system/test_insights_context_on_empty_graph"
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_context_empty"
+            pathlib.Path(__file__).parent, ".data_storage/test_insights_context_on_empty_graph"
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -249,13 +249,3 @@ class TestInsightsRetriever:
 
         context = await retriever.get_context("Christina Mayer")
         assert context == [], "Returned context should be empty on an empty graph"
-
-
-if __name__ == "__main__":
-    from asyncio import run
-
-    test = TestInsightsRetriever()
-
-    run(test.test_insights_context_simple())
-    run(test.test_insights_context_complex())
-    run(test.test_insights_context_on_empty_graph())
diff --git a/cognee/tests/unit/modules/retrieval/rag_completion_retriever_test.py b/cognee/tests/unit/modules/retrieval/rag_completion_retriever_test.py
index 5304160c8..356aed4d3 100644
--- a/cognee/tests/unit/modules/retrieval/rag_completion_retriever_test.py
+++ b/cognee/tests/unit/modules/retrieval/rag_completion_retriever_test.py
@@ -16,11 +16,11 @@ class TestRAGCompletionRetriever:
     @pytest.mark.asyncio
     async def test_rag_completion_context_simple(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_rag_context"
+            pathlib.Path(__file__).parent, ".cognee_system/test_rag_completion_context_simple"
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_rag_context"
+            pathlib.Path(__file__).parent, ".data_storage/test_rag_completion_context_simple"
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -73,11 +73,11 @@ class TestRAGCompletionRetriever:
     @pytest.mark.asyncio
     async def test_rag_completion_context_complex(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_context"
+            pathlib.Path(__file__).parent, ".cognee_system/test_rag_completion_context_complex"
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_context"
+            pathlib.Path(__file__).parent, ".data_storage/test_rag_completion_context_complex"
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -163,11 +163,13 @@ class TestRAGCompletionRetriever:
     @pytest.mark.asyncio
     async def test_get_rag_completion_context_on_empty_graph(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_graph_completion_context"
+            pathlib.Path(__file__).parent,
+            ".cognee_system/test_get_rag_completion_context_on_empty_graph",
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_graph_completion_context"
+            pathlib.Path(__file__).parent,
+            ".data_storage/test_get_rag_completion_context_on_empty_graph",
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -184,13 +186,3 @@ class TestRAGCompletionRetriever:
 
         context = await retriever.get_context("Christina Mayer")
         assert context == "", "Returned context should be empty on an empty graph"
-
-
-if __name__ == "__main__":
-    from asyncio import run
-
-    test = TestRAGCompletionRetriever()
-
-    run(test.test_rag_completion_context_simple())
-    run(test.test_rag_completion_context_complex())
-    run(test.test_get_rag_completion_context_on_empty_graph())
diff --git a/cognee/tests/unit/modules/retrieval/summaries_retriever_test.py b/cognee/tests/unit/modules/retrieval/summaries_retriever_test.py
index e12979caa..fc96081bf 100644
--- a/cognee/tests/unit/modules/retrieval/summaries_retriever_test.py
+++ b/cognee/tests/unit/modules/retrieval/summaries_retriever_test.py
@@ -17,11 +17,11 @@ class TextSummariesRetriever:
     @pytest.mark.asyncio
     async def test_chunk_context(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_summary_context"
+            pathlib.Path(__file__).parent, ".cognee_system/test_chunk_context"
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_summary_context"
+            pathlib.Path(__file__).parent, ".data_storage/test_chunk_context"
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -136,11 +136,11 @@ class TextSummariesRetriever:
     @pytest.mark.asyncio
     async def test_chunk_context_on_empty_graph(self):
         system_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".cognee_system/test_summary_context"
+            pathlib.Path(__file__).parent, ".cognee_system/test_chunk_context_on_empty_graph"
         )
         cognee.config.system_root_directory(system_directory_path)
         data_directory_path = os.path.join(
-            pathlib.Path(__file__).parent, ".data_storage/test_summary_context"
+            pathlib.Path(__file__).parent, ".data_storage/test_chunk_context_on_empty_graph"
         )
         cognee.config.data_root_directory(data_directory_path)
 
@@ -157,12 +157,3 @@ class TextSummariesRetriever:
 
         context = await retriever.get_context("Christina Mayer")
         assert context == [], "Returned context should be empty on an empty graph"
-
-
-if __name__ == "__main__":
-    from asyncio import run
-
-    test = TextSummariesRetriever()
-
-    run(test.test_chunk_context())
-    run(test.test_chunk_context_on_empty_graph())
diff --git a/cognee/tests/unit/processing/utils/utils_test.py b/cognee/tests/unit/processing/utils/utils_test.py
index cfdae0f34..675a563a4 100644
--- a/cognee/tests/unit/processing/utils/utils_test.py
+++ b/cognee/tests/unit/processing/utils/utils_test.py
@@ -1,4 +1,5 @@
 import os
+import tempfile
 import pytest
 import networkx as nx
 import pandas as pd
@@ -6,12 +7,9 @@ from unittest.mock import patch, mock_open
 from io import BytesIO
 from uuid import uuid4
 
-from cognee.shared.utils import (
-    get_anonymous_id,
-    get_file_content_hash,
-    prepare_edges,
-    prepare_nodes,
-)
+
+from cognee.infrastructure.files.utils.get_file_content_hash import get_file_content_hash
+from cognee.shared.utils import get_anonymous_id
 
 
 @pytest.fixture
@@ -28,48 +26,31 @@ def test_get_anonymous_id(mock_open_file, mock_makedirs, temp_dir):
     assert len(anon_id) > 0
 
 
-# @patch("requests.post")
-# def test_send_telemetry(mock_post):
-#     mock_post.return_value.status_code = 200
-#
-#     send_telemetry("test_event", "test_user", {"key": "value"})
-#     mock_post.assert_called_once()
-#
-#     args, kwargs = mock_post.call_args
-#     assert kwargs["json"]["event_name"] == "test_event"
+@pytest.mark.asyncio
+async def test_get_file_content_hash_file():
+    temp_file_path = None
+    text_content = "Test content with UTF-8: café ☕"
 
+    with tempfile.NamedTemporaryFile(mode="w", delete=False, suffix=".txt", encoding="utf-8") as f:
+        test_content = text_content
+        f.write(test_content)
+        temp_file_path = f.name
 
-@patch("builtins.open", new_callable=mock_open, read_data=b"test_data")
-def test_get_file_content_hash_file(mock_open_file):
     import hashlib
 
-    expected_hash = hashlib.md5(b"test_data").hexdigest()
-    result = get_file_content_hash("test_file.txt")
-    assert result == expected_hash
+    try:
+        expected_hash = hashlib.md5(text_content.encode("utf-8")).hexdigest()
+        result = await get_file_content_hash(temp_file_path)
+        assert result == expected_hash
+    finally:
+        os.unlink(temp_file_path)
 
 
-def test_get_file_content_hash_stream():
+@pytest.mark.asyncio
+async def test_get_file_content_hash_stream():
     stream = BytesIO(b"test_data")
     import hashlib
 
     expected_hash = hashlib.md5(b"test_data").hexdigest()
-    result = get_file_content_hash(stream)
+    result = await get_file_content_hash(stream)
     assert result == expected_hash
-
-
-def test_prepare_edges():
-    graph = nx.MultiDiGraph()
-    graph.add_edge("A", "B", key="AB", weight=1)
-    edges_df = prepare_edges(graph, "source", "target", "key")
-
-    assert isinstance(edges_df, pd.DataFrame)
-    assert len(edges_df) == 1
-
-
-def test_prepare_nodes():
-    graph = nx.Graph()
-    graph.add_node(1, name="Node1")
-    nodes_df = prepare_nodes(graph)
-
-    assert isinstance(nodes_df, pd.DataFrame)
-    assert len(nodes_df) == 1
diff --git a/examples/low_level/pipeline.py b/examples/low_level/pipeline.py
index a8077e932..47f8294f0 100644
--- a/examples/low_level/pipeline.py
+++ b/examples/low_level/pipeline.py
@@ -6,7 +6,6 @@ from cognee import visualize_graph
 from cognee.low_level import setup, DataPoint
 from cognee.pipelines import run_tasks, Task
 from cognee.tasks.storage import add_data_points
-from cognee.shared.utils import render_graph
 
 
 class Person(DataPoint):
@@ -80,9 +79,6 @@ async def main():
     async for status in pipeline:
         print(status)
 
-    # Get a graphistry url (Register for a free account at https://www.graphistry.com)
-    await render_graph()
-
     # Or use our simple graph preview
     graph_file_path = str(
         os.path.join(os.path.dirname(__file__), ".artifacts/graph_visualization.html")
diff --git a/examples/low_level/product_recommendation.py b/examples/low_level/product_recommendation.py
index 15fb9a7d0..782311618 100644
--- a/examples/low_level/product_recommendation.py
+++ b/examples/low_level/product_recommendation.py
@@ -10,7 +10,6 @@ from cognee.infrastructure.databases.graph import get_graph_engine
 from cognee.low_level import setup, DataPoint
 from cognee.pipelines import run_tasks, Task
 from cognee.tasks.storage import add_data_points
-from cognee.shared.utils import render_graph
 
 
 class Products(DataPoint):
@@ -119,9 +118,6 @@ async def main():
     async for status in pipeline:
         print(status)
 
-    # Get a graphistry url (Register for a free account at https://www.graphistry.com)
-    await render_graph()
-
     graph_engine = await get_graph_engine()
 
     products_results = await graph_engine.query(
diff --git a/poetry.lock b/poetry.lock
index d518a323e..e09063180 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 
 [[package]]
 name = "aiobotocore"
@@ -29,14 +29,14 @@ httpx = ["httpx (>=0.25.1,<0.29)"]
 
 [[package]]
 name = "aiofiles"
-version = "24.1.0"
+version = "23.2.1"
 description = "File support for asyncio."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 groups = ["main"]
 files = [
-    {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"},
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 [[package]]
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 ]
 
 [package.dependencies]
 aiohappyeyeballs = ">=2.5.0"
-aiosignal = ">=1.1.2"
+aiosignal = ">=1.4.0"
 async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
@@ -178,48 +178,49 @@ docs = ["sphinx (==8.0.2)", "sphinx-mdinclude (==0.6.2)"]
 
 [[package]]
 name = "aiosignal"
-version = "1.3.2"
+version = "1.4.0"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
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 ]
 
 [package.dependencies]
 frozenlist = ">=1.1.0"
+typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""}
 
 [[package]]
 name = "aiosqlite"
-version = "0.20.0"
+version = "0.21.0"
 description = "asyncio bridge to the standard sqlite3 module"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 [package.dependencies]
 typing_extensions = ">=4.0"
 
 [package.extras]
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-docs = ["sphinx (==7.2.6)", "sphinx-mdinclude (==0.5.3)"]
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+docs = ["sphinx (==8.1.3)", "sphinx-mdinclude (==0.6.1)"]
 
 [[package]]
 name = "alembic"
-version = "1.16.2"
+version = "1.16.4"
 description = "A database migration tool for SQLAlchemy."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -300,7 +301,7 @@ description = "Disable App Nap on macOS >= 10.9"
 optional = true
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "(extra == \"notebook\" or extra == \"dev\") and platform_system == \"Darwin\""
+markers = "platform_system == \"Darwin\" and (extra == \"notebook\" or extra == \"dev\")"
 files = [
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@@ -551,15 +552,15 @@ tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" a
 
 [[package]]
 name = "authlib"
-version = "1.3.1"
+version = "1.6.0"
 description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"weaviate\""
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 ]
 
 [package.dependencies]
@@ -864,14 +865,14 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2025.6.15"
+version = "2025.7.9"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
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 ]
 
 [[package]]
@@ -1353,59 +1354,80 @@ test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist"
 
 [[package]]
 name = "coverage"
-version = "7.9.1"
+version = "7.9.2"
 description = "Code coverage measurement for Python"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
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 [package.dependencies]
@@ -1416,49 +1438,49 @@ toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
 
 [[package]]
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 optional = false
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 [package.dependencies]
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 test-randomorder = ["pytest-randomly"]
 
 [[package]]
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 [[package]]
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+python-versions = ">=3.9"
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+
 [[package]]
 name = "deepeval"
 version = "2.6.6"
@@ -1620,7 +1667,7 @@ description = "XML bomb protection for Python stdlib modules"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 groups = ["main"]
-markers = "extra == \"notebook\" or extra == \"dev\""
+markers = "extra == \"notebook\" or extra == \"dev\" or extra == \"deepeval\""
 files = [
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-version = "1.12.3"
+version = "1.13.0"
 description = "dlt is an open-source python-first scalable data loading library that does not require any backend to run."
 optional = false
-python-versions = "!=3.9.7,<3.14,>=3.9.2"
+python-versions = "<3.14,>=3.9.2"
 groups = ["main"]
 files = [
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 pathvalidate = ">=2.5.2"
 pendulum = ">=2.1.2"
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 [[package]]
 name = "duckdb"
-version = "1.3.1"
+version = "1.3.2"
 description = "DuckDB in-process database"
 optional = true
 python-versions = ">=3.7.0"
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 ]
 
 [[package]]
@@ -1965,22 +2015,6 @@ files = [
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 ]
 
-[[package]]
-name = "eval-type-backport"
-version = "0.2.2"
-description = "Like `typing._eval_type`, but lets older Python versions use newer typing features."
-optional = true
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "extra == \"docs\""
-files = [
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-]
-
-[package.extras]
-tests = ["pytest"]
-
 [[package]]
 name = "exceptiongroup"
 version = "1.3.0"
@@ -2034,39 +2068,42 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
 [[package]]
 name = "falkordb"
-version = "1.0.9"
+version = "1.2.0"
 description = "Python client for interacting with FalkorDB database"
 optional = true
 python-versions = "<4.0,>=3.8"
 groups = ["main"]
 markers = "extra == \"falkordb\""
 files = [
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 ]
 
 [package.dependencies]
+python-dateutil = ">=2.9.0,<3.0.0"
 redis = ">=5.0.1,<6.0.0"
 
 [[package]]
 name = "fastapi"
-version = "0.115.7"
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 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
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-starlette = ">=0.40.0,<0.46.0"
+starlette = ">=0.40.0,<0.48.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
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+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
+standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[standard-no-fastapi-cloud-cli] (>=0.0.8)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "fastapi-users"
@@ -2198,54 +2235,54 @@ files = [
 
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 python-versions = ">=3.9"
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+    {file = "fonttools-4.58.5-py3-none-any.whl", hash = "sha256:e48a487ed24d9b611c5c4b25db1e50e69e9854ca2670e39a3486ffcd98863ec4"},
+    {file = "fonttools-4.58.5.tar.gz", hash = "sha256:b2a35b0a19f1837284b3a23dd64fd7761b8911d50911ecd2bdbaf5b2d1b5df9c"},
 ]
 
 [package.extras]
@@ -2576,15 +2613,15 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.174.0"
+version = "2.176.0"
 description = "Google API Client Library for Python"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
 markers = "extra == \"gemini\""
 files = [
-    {file = "google_api_python_client-2.174.0-py3-none-any.whl", hash = "sha256:f695205ceec97bfaa1590a14282559c4109326c473b07352233a3584cdbf4b89"},
-    {file = "google_api_python_client-2.174.0.tar.gz", hash = "sha256:9eb7616a820b38a9c12c5486f9b9055385c7feb18b20cbafc5c5a688b14f3515"},
+    {file = "google_api_python_client-2.176.0-py3-none-any.whl", hash = "sha256:e22239797f1d085341e12cd924591fc65c56d08e0af02549d7606092e6296510"},
+    {file = "google_api_python_client-2.176.0.tar.gz", hash = "sha256:2b451cdd7fd10faeb5dd20f7d992f185e1e8f4124c35f2cdcc77c843139a4cf1"},
 ]
 
 [package.dependencies]
@@ -2831,15 +2868,15 @@ colorama = ">=0.4"
 
 [[package]]
 name = "groq"
-version = "0.8.0"
+version = "0.30.0"
 description = "The official Python library for the groq API"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["main"]
 markers = "extra == \"groq\""
 files = [
-    {file = "groq-0.8.0-py3-none-any.whl", hash = "sha256:f5e4e892d45001241a930db451e633ca1f0007e3f749deaa5d7360062fcd61e3"},
-    {file = "groq-0.8.0.tar.gz", hash = "sha256:37ceb2f706bd516d0bfcac8e89048a24b375172987a0d6bd9efb521c54f6deff"},
+    {file = "groq-0.30.0-py3-none-any.whl", hash = "sha256:6d9609a7778ba56432f45c1bac21b005f02c6c0aca9c1c094e65536f162c1e83"},
+    {file = "groq-0.30.0.tar.gz", hash = "sha256:919466e48fcbebef08fed3f71debb0f96b0ea8d2ec77842c384aa843019f6e2c"},
 ]
 
 [package.dependencies]
@@ -2848,7 +2885,10 @@ distro = ">=1.7.0,<2"
 httpx = ">=0.23.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
-typing-extensions = ">=4.7,<5"
+typing-extensions = ">=4.10,<5"
+
+[package.extras]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.6)"]
 
 [[package]]
 name = "grpcio"
@@ -2857,7 +2897,7 @@ description = "HTTP/2-based RPC framework"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"gemini\" or extra == \"weaviate\" or extra == \"qdrant\" or extra == \"deepeval\" or extra == \"milvus\" or python_version == \"3.10\" and (extra == \"deepeval\" or extra == \"weaviate\" or extra == \"qdrant\" or extra == \"gemini\" or extra == \"milvus\")"
+markers = "extra == \"gemini\" or extra == \"weaviate\" or extra == \"qdrant\" or extra == \"deepeval\" or extra == \"milvus\""
 files = [
     {file = "grpcio-1.67.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:8b0341d66a57f8a3119b77ab32207072be60c9bf79760fa609c5609f2deb1f3f"},
     {file = "grpcio-1.67.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:f5a27dddefe0e2357d3e617b9079b4bfdc91341a91565111a21ed6ebbc51b22d"},
@@ -3027,14 +3067,15 @@ setuptools = "*"
 
 [[package]]
 name = "grpclib"
-version = "0.4.7"
+version = "0.4.8"
 description = "Pure-Python gRPC implementation for asyncio"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["main"]
 markers = "extra == \"distributed\""
 files = [
-    {file = "grpclib-0.4.7.tar.gz", hash = "sha256:2988ef57c02b22b7a2e8e961792c41ccf97efc2ace91ae7a5b0de03c363823c3"},
+    {file = "grpclib-0.4.8-py3-none-any.whl", hash = "sha256:a5047733a7acc1c1cee6abf3c841c7c6fab67d2844a45a853b113fa2e6cd2654"},
+    {file = "grpclib-0.4.8.tar.gz", hash = "sha256:d8823763780ef94fed8b2c562f7485cf0bbee15fc7d065a640673667f7719c9a"},
 ]
 
 [package.dependencies]
@@ -3295,14 +3336,14 @@ test = ["Cython (>=0.29.24)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.0"
+version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5"},
-    {file = "httpx-0.27.0.tar.gz", hash = "sha256:a0cb88a46f32dc874e04ee956e4c2764aba2aa228f650b06788ba6bda2962ab5"},
+    {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
+    {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
 ]
 
 [package.dependencies]
@@ -3311,13 +3352,13 @@ certifi = "*"
 h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""}
 httpcore = "==1.*"
 idna = "*"
-sniffio = "*"
 
 [package.extras]
 brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "httpx-sse"
@@ -3334,14 +3375,14 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.33.1"
+version = "0.33.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 groups = ["main"]
 files = [
-    {file = "huggingface_hub-0.33.1-py3-none-any.whl", hash = "sha256:ec8d7444628210c0ba27e968e3c4c973032d44dcea59ca0d78ef3f612196f095"},
-    {file = "huggingface_hub-0.33.1.tar.gz", hash = "sha256:589b634f979da3ea4b8bdb3d79f97f547840dc83715918daf0b64209c0844c7b"},
+    {file = "huggingface_hub-0.33.4-py3-none-any.whl", hash = "sha256:09f9f4e7ca62547c70f8b82767eefadd2667f4e116acba2e3e62a5a81815a7bb"},
+    {file = "huggingface_hub-0.33.4.tar.gz", hash = "sha256:6af13478deae120e765bfd92adad0ae1aec1ad8c439b46f23058ad5956cbca0a"},
 ]
 
 [package.dependencies]
@@ -3483,14 +3524,14 @@ files = [
 
 [[package]]
 name = "instructor"
-version = "1.9.0"
+version = "1.9.2"
 description = "structured outputs for llm"
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 files = [
-    {file = "instructor-1.9.0-py3-none-any.whl", hash = "sha256:ab0eda1d20a2135cd15e1ed0928ea6428bee65cdc1ebfd09aba980c8da6389ee"},
-    {file = "instructor-1.9.0.tar.gz", hash = "sha256:34fb37084d40130bdde9d8dd27f592cef81b409ded8a8c11ccd81945e52fd9e6"},
+    {file = "instructor-1.9.2-py3-none-any.whl", hash = "sha256:0f0503baade2d0b7ec40a4711de3cd49b25702a746b3bc18e3d375510dabe049"},
+    {file = "instructor-1.9.2.tar.gz", hash = "sha256:8c6b9fb4f8404a1e8290b8c3e9d26f8e9a1aceb5392ea8728a21a0828fb5e7c6"},
 ]
 
 [package.dependencies]
@@ -3515,8 +3556,8 @@ bedrock = ["boto3 (>=1.34.0,<2.0.0)"]
 cerebras-cloud-sdk = ["cerebras-cloud-sdk (>=1.5.0,<2.0.0)"]
 cohere = ["cohere (>=5.1.8,<6.0.0)"]
 datasets = ["datasets (>=3.0.1,<4.0.0)"]
-dev = ["coverage (>=7.3.2,<8.0.0)", "jsonref (>=1.1.0,<2.0.0)", "pyright (<2.0.0)", "pytest (>=8.3.3,<9.0.0)", "pytest-asyncio (>=0.24.0,<1.0.0)", "pytest-examples (>=0.0.15)"]
-docs = ["material (>=0.1)", "mkdocs (>=1.4.3,<2.0.0)", "mkdocs-jupyter (>=0.24.6,<0.26.0)", "mkdocs-material[imaging] (>=9.5.9,<10.0.0)", "mkdocs-minify-plugin (>=0.8.0,<1.0.0)", "mkdocs-redirects (>=1.2.1,<2.0.0)", "mkdocs-rss-plugin (>=1.12.0,<2.0.0)", "mkdocstrings (>=0.26.1,<0.30.0)", "mkdocstrings-python (>=1.11.1,<2.0.0)", "pytest-examples (>=0.0.15)"]
+dev = ["coverage (>=7.3.2,<8.0.0)", "jsonref (>=1.1.0,<2.0.0)", "pyright (<2.0.0)", "pytest (>=8.3.3,<9.0.0)", "pytest-asyncio (>=0.24.0,<1.0.0)", "pytest-examples (>=0.0.15)", "python-dotenv (>=1.0.1)"]
+docs = ["mkdocs (>=1.6.1,<2.0.0)", "mkdocs-jupyter (>=0.24.6,<0.26.0)", "mkdocs-material (>=9.6.14)", "mkdocs-material-extensions (>=1.3.1)", "mkdocs-material[imaging] (>=9.5.9,<10.0.0)", "mkdocs-minify-plugin (>=0.8.0,<1.0.0)", "mkdocs-redirects (>=1.2.1,<2.0.0)", "mkdocs-rss-plugin (>=1.12.0,<2.0.0)", "mkdocstrings (>=0.27.1,<0.30.0)", "mkdocstrings-python (>=1.12.2,<2.0.0)", "pytest-examples (>=0.0.15)"]
 fireworks-ai = ["fireworks-ai (>=0.15.4,<1.0.0)"]
 google-genai = ["google-genai (>=1.5.0)", "jsonref (>=1.1.0,<2.0.0)"]
 google-generativeai = ["google-generativeai (>=0.8.2,<1.0.0)", "jsonref (>=1.1.0,<2.0.0)"]
@@ -3532,6 +3573,7 @@ test-docs = ["diskcache (>=5.6.3,<6.0.0)", "fastapi (>=0.109.2,<0.116.0)", "lite
 trafilatura = ["trafilatura (>=1.12.2,<3.0.0)"]
 vertexai = ["google-cloud-aiplatform (>=1.53.0,<2.0.0)", "jsonref (>=1.1.0,<2.0.0)"]
 writer = ["writer-sdk (>=2.2.0,<3.0.0)"]
+xai = ["python-dotenv (>=1.0.0)", "xai-sdk (>=0.2.0) ; python_version >= \"3.10\""]
 
 [[package]]
 name = "ipykernel"
@@ -3610,15 +3652,15 @@ test-extra = ["curio", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "n
 
 [[package]]
 name = "ipython"
-version = "9.3.0"
+version = "9.4.0"
 description = "IPython: Productive Interactive Computing"
 optional = true
 python-versions = ">=3.11"
 groups = ["main"]
 markers = "python_version >= \"3.11\" and (extra == \"notebook\" or extra == \"dev\")"
 files = [
-    {file = "ipython-9.3.0-py3-none-any.whl", hash = "sha256:1a0b6dd9221a1f5dddf725b57ac0cb6fddc7b5f470576231ae9162b9b3455a04"},
-    {file = "ipython-9.3.0.tar.gz", hash = "sha256:79eb896f9f23f50ad16c3bc205f686f6e030ad246cc309c6279a242b14afe9d8"},
+    {file = "ipython-9.4.0-py3-none-any.whl", hash = "sha256:25850f025a446d9b359e8d296ba175a36aedd32e83ca9b5060430fe16801f066"},
+    {file = "ipython-9.4.0.tar.gz", hash = "sha256:c033c6d4e7914c3d9768aabe76bbe87ba1dc66a92a05db6bfa1125d81f2ee270"},
 ]
 
 [package.dependencies]
@@ -3796,7 +3838,7 @@ description = "Low-level, pure Python DBus protocol wrapper."
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "extra == \"deepeval\" and sys_platform == \"linux\""
+markers = "sys_platform == \"linux\" and extra == \"deepeval\""
 files = [
     {file = "jeepney-0.9.0-py3-none-any.whl", hash = "sha256:97e5714520c16fc0a45695e5365a2e11b81ea79bba796e26f9f1d178cb182683"},
     {file = "jeepney-0.9.0.tar.gz", hash = "sha256:cf0e9e845622b81e4a28df94c40345400256ec608d0e55bb8a3feaa9163f5732"},
@@ -3988,11 +4030,26 @@ python-versions = "*"
 groups = ["main"]
 files = [
     {file = "jsonpath-ng-1.7.0.tar.gz", hash = "sha256:f6f5f7fd4e5ff79c785f1573b394043b39849fb2bb47bcead935d12b00beab3c"},
+    {file = "jsonpath_ng-1.7.0-py2-none-any.whl", hash = "sha256:898c93fc173f0c336784a3fa63d7434297544b7198124a68f9a3ef9597b0ae6e"},
+    {file = "jsonpath_ng-1.7.0-py3-none-any.whl", hash = "sha256:f3d7f9e848cba1b6da28c55b1c26ff915dc9e0b1ba7e752a53d6da8d5cbd00b6"},
 ]
 
 [package.dependencies]
 ply = "*"
 
+[[package]]
+name = "jsonpath-python"
+version = "1.0.6"
+description = "A more powerful JSONPath implementation in modern python"
+optional = true
+python-versions = ">=3.6"
+groups = ["main"]
+markers = "extra == \"docs\""
+files = [
+    {file = "jsonpath-python-1.0.6.tar.gz", hash = "sha256:dd5be4a72d8a2995c3f583cf82bf3cd1a9544cfdabf2d22595b67aff07349666"},
+    {file = "jsonpath_python-1.0.6-py3-none-any.whl", hash = "sha256:1e3b78df579f5efc23565293612decee04214609208a2335884b3ee3f786b575"},
+]
+
 [[package]]
 name = "jsonpointer"
 version = "3.0.0"
@@ -4399,136 +4456,151 @@ files = [
 
 [[package]]
 name = "kuzu"
-version = "0.9.0"
+version = "0.11.0"
 description = "Highly scalable, extremely fast, easy-to-use embeddable graph database"
 optional = false
 python-versions = "*"
 groups = ["main"]
 files = [
-    {file = "kuzu-0.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ec9f216d67c092ea52086c99cf4b1deabe0f8daaf47c80cf1892b3b41c57d58a"},
-    {file = "kuzu-0.9.0-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:bda6d845bf1c7da204ffa7730573118f2d43fe6b14b1a5d0d2845ec3d3481362"},
-    {file = "kuzu-0.9.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ab5b28f101c93899fc15668b6cb25f6db3d4a9844fcc4affed293caaaafaa4b7"},
-    {file = "kuzu-0.9.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:183bb1de19ffec1c3b07c0b4d5eecf02eb4eeafc1d50aea409bc91e1fad4d6d2"},
-    {file = "kuzu-0.9.0-cp310-cp310-win_amd64.whl", hash = "sha256:2e36ce7da1bbebb538082656de18a717895d9352a33c8bcac170ef2fc22a4902"},
-    {file = "kuzu-0.9.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:82dd690d823df816e7826945e5243a4ae65e3e948ef512709a59205b84b9f6dd"},
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 markers = "extra == \"deepeval\""
 files = [
-    {file = "langchain-0.3.11-py3-none-any.whl", hash = "sha256:6655feded1f7569e5a4bd11e38de0a26c7c86646c0dea49afccceba42df60ad7"},
-    {file = "langchain-0.3.11.tar.gz", hash = "sha256:17868ea3f0cf5a46b4b88bf1961c4a12d32ea0778930e7d2eb5103e0287ff478"},
+    {file = "langchain-0.3.26-py3-none-any.whl", hash = "sha256:361bb2e61371024a8c473da9f9c55f4ee50f269c5ab43afdb2b1309cb7ac36cf"},
+    {file = "langchain-0.3.26.tar.gz", hash = "sha256:8ff034ee0556d3e45eff1f1e96d0d745ced57858414dba7171c8ebdbeb5580c9"},
 ]
 
 [package.dependencies]
-aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.3.24,<0.4.0"
-langchain-text-splitters = ">=0.3.0,<0.4.0"
-langsmith = ">=0.1.17,<0.3"
-numpy = [
-    {version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
-    {version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
-]
+langchain-core = ">=0.3.66,<1.0.0"
+langchain-text-splitters = ">=0.3.8,<1.0.0"
+langsmith = ">=0.1.17"
 pydantic = ">=2.7.4,<3.0.0"
 PyYAML = ">=5.3"
 requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
-tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
+
+[package.extras]
+anthropic = ["langchain-anthropic"]
+aws = ["langchain-aws"]
+azure-ai = ["langchain-azure-ai"]
+cohere = ["langchain-cohere"]
+community = ["langchain-community"]
+deepseek = ["langchain-deepseek"]
+fireworks = ["langchain-fireworks"]
+google-genai = ["langchain-google-genai"]
+google-vertexai = ["langchain-google-vertexai"]
+groq = ["langchain-groq"]
+huggingface = ["langchain-huggingface"]
+mistralai = ["langchain-mistralai"]
+ollama = ["langchain-ollama"]
+openai = ["langchain-openai"]
+perplexity = ["langchain-perplexity"]
+together = ["langchain-together"]
+xai = ["langchain-xai"]
 
 [[package]]
 name = "langchain-community"
-version = "0.3.11"
+version = "0.3.27"
 description = "Community contributed LangChain integrations."
 optional = true
-python-versions = "<4.0,>=3.9"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "langchain_community-0.3.11-py3-none-any.whl", hash = "sha256:c67091dc7652f44161bbea915c03a296f3c1ef2a8dfbcb475cdf23a1deb9790e"},
-    {file = "langchain_community-0.3.11.tar.gz", hash = "sha256:31a96de1578f6037cd49acf287227d54e88e81f82e3e49cb4d90bfe05b1cdc32"},
+    {file = "langchain_community-0.3.27-py3-none-any.whl", hash = "sha256:581f97b795f9633da738ea95da9cb78f8879b538090c9b7a68c0aed49c828f0d"},
+    {file = "langchain_community-0.3.27.tar.gz", hash = "sha256:e1037c3b9da0c6d10bf06e838b034eb741e016515c79ef8f3f16e53ead33d882"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-httpx-sse = ">=0.4.0,<0.5.0"
-langchain = ">=0.3.11,<0.4.0"
-langchain-core = ">=0.3.24,<0.4.0"
-langsmith = ">=0.1.125,<0.3"
+httpx-sse = ">=0.4.0,<1.0.0"
+langchain = ">=0.3.26,<1.0.0"
+langchain-core = ">=0.3.66,<1.0.0"
+langsmith = ">=0.1.125"
 numpy = [
-    {version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
-    {version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
+    {version = ">=1.26.2", markers = "python_version < \"3.13\""},
+    {version = ">=2.1.0", markers = "python_version >= \"3.13\""},
 ]
 pydantic-settings = ">=2.4.0,<3.0.0"
 PyYAML = ">=5.3"
@@ -4538,20 +4610,20 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.63"
+version = "0.3.68"
 description = "Building applications with LLMs through composability"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"langchain\" or extra == \"deepeval\""
 files = [
-    {file = "langchain_core-0.3.63-py3-none-any.whl", hash = "sha256:f91db8221b1bc6808f70b2e72fded1a94d50ee3f1dff1636fb5a5a514c64b7f5"},
-    {file = "langchain_core-0.3.63.tar.gz", hash = "sha256:e2e30cfbb7684a5a0319f6cbf065fc3c438bfd1060302f085a122527890fb01e"},
+    {file = "langchain_core-0.3.68-py3-none-any.whl", hash = "sha256:5e5c1fbef419590537c91b8c2d86af896fbcbaf0d5ed7fdcdd77f7d8f3467ba0"},
+    {file = "langchain_core-0.3.68.tar.gz", hash = "sha256:312e1932ac9aa2eaf111b70fdc171776fa571d1a86c1f873dcac88a094b19c6f"},
 ]
 
 [package.dependencies]
 jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.1.126,<0.4"
+langsmith = ">=0.3.45"
 packaging = ">=23.2,<25"
 pydantic = ">=2.7.4"
 PyYAML = ">=5.3"
@@ -4560,37 +4632,37 @@ typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.3.19"
+version = "0.3.27"
 description = "An integration package connecting OpenAI and LangChain"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "langchain_openai-0.3.19-py3-none-any.whl", hash = "sha256:0ffb9eb86e1d25909a8e406e7e1fead3bd2e8d74a7e6daa74bacf2c6971e8b99"},
-    {file = "langchain_openai-0.3.19.tar.gz", hash = "sha256:2ff103f272d01694aef650dfe0dc64525481b89f7f9e61f5e3ef8eb21da9f5fe"},
+    {file = "langchain_openai-0.3.27-py3-none-any.whl", hash = "sha256:efe636c3523978c44adc41cf55c8b3766c05c77547982465884d1258afe705df"},
+    {file = "langchain_openai-0.3.27.tar.gz", hash = "sha256:5d5a55adbff739274dfc3a4102925771736f893758f63679b64ae62fed79ca30"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.63,<1.0.0"
-openai = ">=1.68.2,<2.0.0"
+langchain-core = ">=0.3.66,<1.0.0"
+openai = ">=1.86.0,<2.0.0"
 tiktoken = ">=0.7,<1"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.2"
+version = "0.3.8"
 description = "LangChain text splitting utilities"
 optional = true
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "extra == \"langchain\" or extra == \"deepeval\""
 files = [
-    {file = "langchain_text_splitters-0.3.2-py3-none-any.whl", hash = "sha256:0db28c53f41d1bc024cdb3b1646741f6d46d5371e90f31e7e7c9fbe75d01c726"},
-    {file = "langchain_text_splitters-0.3.2.tar.gz", hash = "sha256:81e6515d9901d6dd8e35fb31ccd4f30f76d44b771890c789dc835ef9f16204df"},
+    {file = "langchain_text_splitters-0.3.8-py3-none-any.whl", hash = "sha256:e75cc0f4ae58dcf07d9f18776400cf8ade27fadd4ff6d264df6278bb302f6f02"},
+    {file = "langchain_text_splitters-0.3.8.tar.gz", hash = "sha256:116d4b9f2a22dda357d0b79e30acf005c5518177971c66a9f1ab0edfdb0f912e"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.15,<0.4.0"
+langchain-core = ">=0.3.51,<1.0.0"
 
 [[package]]
 name = "langdetect"
@@ -4637,29 +4709,31 @@ openai = ["openai (>=0.27.8)"]
 
 [[package]]
 name = "langsmith"
-version = "0.2.3"
+version = "0.4.5"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = true
-python-versions = "<4.0,>=3.9"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"langchain\" or extra == \"deepeval\""
 files = [
-    {file = "langsmith-0.2.3-py3-none-any.whl", hash = "sha256:4958b6e918f57fedba6ddc55b8534d1e06478bb44c779aa73713ce898ca6ae87"},
-    {file = "langsmith-0.2.3.tar.gz", hash = "sha256:54c231b07fdeb0f8472925074a0ec0ed2cb654a0437d63c6ccf76a9da635900d"},
+    {file = "langsmith-0.4.5-py3-none-any.whl", hash = "sha256:4167717a2cccc4dff5809dbddc439628e836f6fd13d4fdb31ea013bc8d5cfaf5"},
+    {file = "langsmith-0.4.5.tar.gz", hash = "sha256:49444bd8ccd4e46402f1b9ff1d686fa8e3a31b175e7085e72175ab8ec6164a34"},
 ]
 
 [package.dependencies]
 httpx = ">=0.23.0,<1"
 orjson = {version = ">=3.9.14,<4.0.0", markers = "platform_python_implementation != \"PyPy\""}
-pydantic = [
-    {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
-    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
-]
+packaging = ">=23.2"
+pydantic = ">=1,<3"
 requests = ">=2,<3"
 requests-toolbelt = ">=1.0.0,<2.0.0"
+zstandard = ">=0.23.0,<0.24.0"
 
 [package.extras]
 langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
+openai-agents = ["openai-agents (>=0.0.3,<0.1)"]
+otel = ["opentelemetry-api (>=1.30.0,<2.0.0)", "opentelemetry-exporter-otlp-proto-http (>=1.30.0,<2.0.0)", "opentelemetry-sdk (>=1.30.0,<2.0.0)"]
+pytest = ["pytest (>=7.0.0)", "rich (>=13.9.4,<14.0.0)"]
 
 [[package]]
 name = "limits"
@@ -4724,15 +4798,15 @@ utils = ["numpydoc"]
 
 [[package]]
 name = "llama-cloud"
-version = "0.1.26"
+version = "0.1.32"
 description = ""
 optional = true
 python-versions = "<4,>=3.8"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "llama_cloud-0.1.26-py3-none-any.whl", hash = "sha256:2c0b2663e619b71c0645885ef622d6443725ab37bdc6ae5fb723e097f3af9459"},
-    {file = "llama_cloud-0.1.26.tar.gz", hash = "sha256:b307f91b1ad97189b5278119ac4ad665931b65f240fb643b3e384d0a1fc81f56"},
+    {file = "llama_cloud-0.1.32-py3-none-any.whl", hash = "sha256:c42b2d5fb24acc8595bcc3626fb84c872909a16ab6d6879a1cb1101b21c238bd"},
+    {file = "llama_cloud-0.1.32.tar.gz", hash = "sha256:cea98241127311ea91f191c3c006aa6558f01d16f9539ed93b24d716b888f10e"},
 ]
 
 [package.dependencies]
@@ -4742,42 +4816,43 @@ pydantic = ">=1.10"
 
 [[package]]
 name = "llama-cloud-services"
-version = "0.6.34"
+version = "0.6.43"
 description = "Tailored SDK clients for LlamaCloud services."
 optional = true
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "llama_cloud_services-0.6.34-py3-none-any.whl", hash = "sha256:02df81b03ed0286422a1cce0c650a3fe0eba385c88b12ac690a23153aab55432"},
-    {file = "llama_cloud_services-0.6.34.tar.gz", hash = "sha256:b56884ee0cc2298fd625b6b6d9f161e09340cb962cdb04006770ecf097e925ae"},
+    {file = "llama_cloud_services-0.6.43-py3-none-any.whl", hash = "sha256:2349195f501ba9151ea3ab384d20cae8b4dc4f335f60bd17607332626bdfa2e4"},
+    {file = "llama_cloud_services-0.6.43.tar.gz", hash = "sha256:fa6be33bf54d467cace809efee8c2aeeb9de74ce66708513d37b40d738d3350f"},
 ]
 
 [package.dependencies]
 click = ">=8.1.7,<9.0.0"
-llama-cloud = "0.1.26"
+llama-cloud = "0.1.32"
 llama-index-core = ">=0.12.0"
 platformdirs = ">=4.3.7,<5.0.0"
 pydantic = ">=2.8,<2.10 || >2.10"
 python-dotenv = ">=1.0.1,<2.0.0"
+tenacity = ">=8.5.0,<10.0"
 
 [[package]]
 name = "llama-index"
-version = "0.12.42"
+version = "0.12.48"
 description = "Interface between LLMs and your data"
 optional = true
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "llama_index-0.12.42-py3-none-any.whl", hash = "sha256:9a304b2bd71d6772fc6c2e9995e119815c00716fc98813b15ea79caee09f1fe2"},
-    {file = "llama_index-0.12.42.tar.gz", hash = "sha256:d2bd2b9ea06bc42ebe74697aaa0b66c79bd3dee8ff5d06c53294d49ca44512e7"},
+    {file = "llama_index-0.12.48-py3-none-any.whl", hash = "sha256:93a80de54a5cf86114c252338d7917bb81ffe94afa47f01c41c9ee04c0155db4"},
+    {file = "llama_index-0.12.48.tar.gz", hash = "sha256:54b922fd94efde2c21c12be392c381cb4a0531a7ca8e482a7e3d1c6795af2da5"},
 ]
 
 [package.dependencies]
 llama-index-agent-openai = ">=0.4.0,<0.5"
 llama-index-cli = ">=0.4.2,<0.5"
-llama-index-core = ">=0.12.42,<0.13"
+llama-index-core = ">=0.12.48,<0.13"
 llama-index-embeddings-openai = ">=0.3.0,<0.4"
 llama-index-indices-managed-llama-cloud = ">=0.4.0"
 llama-index-llms-openai = ">=0.4.0,<0.5"
@@ -4808,15 +4883,15 @@ openai = ">=1.14.0"
 
 [[package]]
 name = "llama-index-cli"
-version = "0.4.3"
+version = "0.4.4"
 description = "llama-index cli"
 optional = true
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "llama_index_cli-0.4.3-py3-none-any.whl", hash = "sha256:f0af55ce4b90e5a2466e394b88f4ac6085ea3e6286019bc3f49de6673ce2238d"},
-    {file = "llama_index_cli-0.4.3.tar.gz", hash = "sha256:dae8183a10551bbd89686b94ed294a6cf44633c3dd6285c4f991c85031b7a55f"},
+    {file = "llama_index_cli-0.4.4-py3-none-any.whl", hash = "sha256:1070593cf79407054735ab7a23c5a65a26fc18d264661e42ef38fc549b4b7658"},
+    {file = "llama_index_cli-0.4.4.tar.gz", hash = "sha256:c3af0cf1e2a7e5ef44d0bae5aa8e8872b54c5dd6b731afbae9f13ffeb4997be0"},
 ]
 
 [package.dependencies]
@@ -4826,15 +4901,15 @@ llama-index-llms-openai = ">=0.4.0,<0.5"
 
 [[package]]
 name = "llama-index-core"
-version = "0.12.42"
+version = "0.12.48"
 description = "Interface between LLMs and your data"
 optional = true
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "extra == \"llama-index\" or extra == \"deepeval\""
 files = [
-    {file = "llama_index_core-0.12.42-py3-none-any.whl", hash = "sha256:0534cd9a4f6113175aa406a47ae9a683b5a43fd55532e9dbbffa96838ff18e07"},
-    {file = "llama_index_core-0.12.42.tar.gz", hash = "sha256:cff21fe15610826997c876a6b1d28d52727932c5f9c2af04b23e041a10f40a24"},
+    {file = "llama_index_core-0.12.48-py3-none-any.whl", hash = "sha256:0770119ab540605cb217dc9b26343b0bdf6f91d843cfb17d0074ba2fac358e56"},
+    {file = "llama_index_core-0.12.48.tar.gz", hash = "sha256:a5cb2179495f091f351a41b4ef312ec6593660438e0066011ec81f7b5d2c93be"},
 ]
 
 [package.dependencies]
@@ -4847,6 +4922,7 @@ dirtyjson = ">=1.0.8,<2"
 filetype = ">=1.2.0,<2"
 fsspec = ">=2023.5.0"
 httpx = "*"
+llama-index-workflows = ">=1.0.1,<2"
 nest-asyncio = ">=1.5.8,<2"
 networkx = ">=3.0"
 nltk = ">3.8.1"
@@ -4855,6 +4931,7 @@ pillow = ">=9.0.0"
 pydantic = ">=2.8.0"
 pyyaml = ">=6.0.1"
 requests = ">=2.31.0"
+setuptools = ">=80.9.0"
 sqlalchemy = {version = ">=1.4.49", extras = ["asyncio"]}
 tenacity = ">=8.2.0,<8.4.0 || >8.4.0,<10.0.0"
 tiktoken = ">=0.7.0"
@@ -4882,21 +4959,38 @@ openai = ">=1.1.0"
 
 [[package]]
 name = "llama-index-indices-managed-llama-cloud"
-version = "0.7.7"
+version = "0.7.10"
 description = "llama-index indices llama-cloud integration"
 optional = true
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "llama_index_indices_managed_llama_cloud-0.7.7-py3-none-any.whl", hash = "sha256:5a8a24de6a2f425a5616818582b57f603e4192179443045f636e865efc6692c4"},
-    {file = "llama_index_indices_managed_llama_cloud-0.7.7.tar.gz", hash = "sha256:7fd730a2967dc20eb422ae2fa4028b4cf7023114a5cfadb5232355137754186f"},
+    {file = "llama_index_indices_managed_llama_cloud-0.7.10-py3-none-any.whl", hash = "sha256:f7edcfb8f694cab547cd9324be7835dc97470ce05150d0b8888fa3bf9d2f84a8"},
+    {file = "llama_index_indices_managed_llama_cloud-0.7.10.tar.gz", hash = "sha256:53267907e23d8fbcbb97c7a96177a41446de18550ca6030276092e73b45ca880"},
 ]
 
 [package.dependencies]
-llama-cloud = "0.1.26"
+llama-cloud = "0.1.32"
 llama-index-core = ">=0.12.0,<0.13"
 
+[[package]]
+name = "llama-index-instrumentation"
+version = "0.2.0"
+description = "Add your description here"
+optional = true
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+markers = "extra == \"llama-index\" or extra == \"deepeval\""
+files = [
+    {file = "llama_index_instrumentation-0.2.0-py3-none-any.whl", hash = "sha256:1055ae7a3d19666671a8f1a62d08c90472552d9fcec7e84e6919b2acc92af605"},
+    {file = "llama_index_instrumentation-0.2.0.tar.gz", hash = "sha256:ae8333522487e22a33732924a9a08dfb456f54993c5c97d8340db3c620b76f13"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.18"
+pydantic = ">=2.11.5"
+
 [[package]]
 name = "llama-index-llms-openai"
 version = "0.4.7"
@@ -4916,19 +5010,19 @@ openai = ">=1.81.0,<2"
 
 [[package]]
 name = "llama-index-multi-modal-llms-openai"
-version = "0.5.1"
+version = "0.5.3"
 description = "llama-index multi-modal-llms openai integration"
 optional = true
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "llama_index_multi_modal_llms_openai-0.5.1-py3-none-any.whl", hash = "sha256:69bb9c310c323ce51038f0d40719f546d0d4e0853835a4f5cfa21f07dbb0b91e"},
-    {file = "llama_index_multi_modal_llms_openai-0.5.1.tar.gz", hash = "sha256:df3aff00c36023c5f8c49f972a325f71823ed0f4dd9cd479955d76afc146575f"},
+    {file = "llama_index_multi_modal_llms_openai-0.5.3-py3-none-any.whl", hash = "sha256:be6237df8f9caaa257f9beda5317287bbd2ec19473d777a30a34e41a7c5bddf8"},
+    {file = "llama_index_multi_modal_llms_openai-0.5.3.tar.gz", hash = "sha256:b755a8b47d8d2f34b5a3d249af81d9bfb69d3d2cf9ab539d3a42f7bfa3e2391a"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.12.3,<0.13"
+llama-index-core = ">=0.12.47,<0.13"
 llama-index-llms-openai = ">=0.4.0,<0.5"
 
 [[package]]
@@ -4969,19 +5063,20 @@ llama-index-program-openai = ">=0.3.0,<0.4"
 
 [[package]]
 name = "llama-index-readers-file"
-version = "0.4.9"
+version = "0.4.11"
 description = "llama-index readers file integration"
 optional = true
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "llama_index_readers_file-0.4.9-py3-none-any.whl", hash = "sha256:71f1d0d2ea22012bf233ed4afb9b9b6b2f098d26286e38ed82e3c4af685e07bd"},
-    {file = "llama_index_readers_file-0.4.9.tar.gz", hash = "sha256:b705fd42a2875af03d343c66b28138471800cd13a67efcc48ae2983b39d816c7"},
+    {file = "llama_index_readers_file-0.4.11-py3-none-any.whl", hash = "sha256:e71192d8d6d0bf95131762da15fa205cf6e0cc248c90c76ee04d0fbfe160d464"},
+    {file = "llama_index_readers_file-0.4.11.tar.gz", hash = "sha256:1b21cb66d78dd5f60e8716607d9a47ccd81bb39106d459665be1ca7799e9597b"},
 ]
 
 [package.dependencies]
 beautifulsoup4 = ">=4.12.3,<5"
+defusedxml = ">=0.7.1"
 llama-index-core = ">=0.12.0,<0.13"
 pandas = "<2.3.0"
 pypdf = ">=5.1.0,<6"
@@ -5007,21 +5102,38 @@ files = [
 llama-index-core = ">=0.12.0,<0.13.0"
 llama-parse = ">=0.5.0"
 
+[[package]]
+name = "llama-index-workflows"
+version = "1.1.0"
+description = "An event-driven, async-first, step-based way to control the execution flow of AI applications like Agents."
+optional = true
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "extra == \"llama-index\" or extra == \"deepeval\""
+files = [
+    {file = "llama_index_workflows-1.1.0-py3-none-any.whl", hash = "sha256:992fd5b012f56725853a4eed2219a66e19fcc7a6db85dc51afcc1bd2a5dd6db1"},
+    {file = "llama_index_workflows-1.1.0.tar.gz", hash = "sha256:ff001d362100bfc2a3353cc5f2528a0adb52245e632191a86b4bddacde72b6af"},
+]
+
+[package.dependencies]
+llama-index-instrumentation = ">=0.1.0"
+pydantic = ">=2.11.5"
+
 [[package]]
 name = "llama-parse"
-version = "0.6.34"
+version = "0.6.43"
 description = "Parse files into RAG-Optimized formats."
 optional = true
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
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+    {file = "llama_parse-0.6.43-py3-none-any.whl", hash = "sha256:fe435309638c4fdec4fec31f97c5031b743c92268962d03b99bd76704f566c32"},
+    {file = "llama_parse-0.6.43.tar.gz", hash = "sha256:d88e91c97e37f77b2619111ef43c02b7da61125f821cf77f918996eb48200d78"},
 ]
 
 [package.dependencies]
-llama-cloud-services = ">=0.6.32"
+llama-cloud-services = ">=0.6.43"
 
 [[package]]
 name = "loguru"
@@ -5490,7 +5602,7 @@ description = "A lightweight version of Milvus wrapped with Python."
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "extra == \"milvus\" and sys_platform != \"win32\""
+markers = "sys_platform != \"win32\" and extra == \"milvus\""
 files = [
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@@ -5503,15 +5615,15 @@ tqdm = "*"
 
 [[package]]
 name = "mistral-common"
-version = "1.6.2"
+version = "1.7.0"
 description = "Mistral-common is a library of common utilities for Mistral AI."
 optional = true
 python-versions = "<3.14,>=3.9.0"
 groups = ["main"]
 markers = "extra == \"mistral\""
 files = [
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+    {file = "mistral_common-1.7.0-py3-none-any.whl", hash = "sha256:d3a3497e162f5a365064d74d7cb24607649fb864b852b563a05345e30f53640b"},
+    {file = "mistral_common-1.7.0.tar.gz", hash = "sha256:42ffe538152bb8b2eb00eb1f8927816df1cf48405a99f884436e4176c5d8fe26"},
 ]
 
 [package.dependencies]
@@ -5612,14 +5724,14 @@ pyyaml = ">=5.1"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.6.14"
+version = "9.6.15"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
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+    {file = "mkdocs_material-9.6.15.tar.gz", hash = "sha256:64adf8fa8dba1a17905b6aee1894a5aafd966d4aeb44a11088519b0f5ca4f1b5"},
 ]
 
 [package.dependencies]
@@ -5892,122 +6004,122 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "multidict"
-version = "6.6.2"
+version = "6.6.3"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
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 [package.dependencies]
@@ -6084,15 +6196,15 @@ files = [
 
 [[package]]
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-version = "1.44.0"
+version = "1.46.0"
 description = "Extremely lightweight compatibility layer between dataframe libraries"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"evals\""
 files = [
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 ]
 
 [package.extras]
@@ -6102,7 +6214,7 @@ duckdb = ["duckdb (>=1.0)"]
 ibis = ["ibis-framework (>=6.0.0)", "packaging", "pyarrow-hotfix", "rich"]
 modin = ["modin"]
 pandas = ["pandas (>=1.1.3)"]
-polars = ["polars (>=0.20.3)"]
+polars = ["polars (>=0.20.4)"]
 pyarrow = ["pyarrow (>=11.0.0)"]
 pyspark = ["pyspark (>=3.5.0)"]
 pyspark-connect = ["pyspark[connect] (>=3.5.0)"]
@@ -6255,7 +6367,7 @@ description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.11"
 groups = ["main"]
-markers = "python_version >= \"3.11\" and python_version < \"3.13\" or python_full_version == \"3.13.0\""
+markers = "python_version >= \"3.11\""
 files = [
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@@ -6345,20 +6457,20 @@ files = [
 
 [[package]]
 name = "notebook"
-version = "7.4.3"
+version = "7.4.4"
 description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "extra == \"notebook\" or extra == \"dev\""
 files = [
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 ]
 
 [package.dependencies]
 jupyter-server = ">=2.4.0,<3"
-jupyterlab = ">=4.4.3,<4.5"
+jupyterlab = ">=4.4.4,<4.5"
 jupyterlab-server = ">=2.27.1,<3"
 notebook-shim = ">=0.2,<0.3"
 tornado = ">=6.2.0"
@@ -6387,53 +6499,6 @@ jupyter-server = ">=1.8,<3"
 [package.extras]
 test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"]
 
-[[package]]
-name = "numpy"
-version = "1.26.4"
-description = "Fundamental package for array computing in Python"
-optional = false
-python-versions = ">=3.9"
-groups = ["main"]
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 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
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 ]
 
 [package.dependencies]
@@ -6586,14 +6650,14 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.93.0"
+version = "1.95.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -6607,7 +6671,7 @@ tqdm = ">4"
 typing-extensions = ">=4.11,<5"
 
 [package.extras]
-aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.6)"]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 realtime = ["websockets (>=13,<16)"]
 voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
@@ -6630,15 +6694,15 @@ et-xmlfile = "*"
 
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 name = "opentelemetry-api"
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+version = "1.35.0"
 description = "OpenTelemetry Python API"
 optional = true
 python-versions = ">=3.9"
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 files = [
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 ]
 
 [package.dependencies]
@@ -6647,96 +6711,116 @@ typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.34.1"
+version = "1.35.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
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 [package.dependencies]
-opentelemetry-proto = "1.34.1"
+opentelemetry-proto = "1.35.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.34.1"
+version = "1.35.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.34.1-py3-none-any.whl", hash = "sha256:04bb8b732b02295be79f8a86a4ad28fae3d4ddb07307a98c7aa6f331de18cca6"},
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.34.1.tar.gz", hash = "sha256:7c841b90caa3aafcfc4fee58487a6c71743c34c6dc1787089d8b0578bbd794dd"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.35.0-py3-none-any.whl", hash = "sha256:ee31203eb3e50c7967b8fa71db366cc355099aca4e3726e489b248cdb2fd5a62"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.35.0.tar.gz", hash = "sha256:ac4c2c3aa5674642db0df0091ab43ec08bbd91a9be469c8d9b18923eb742b9cc"},
 ]
 
 [package.dependencies]
-googleapis-common-protos = ">=1.52,<2.0"
+googleapis-common-protos = ">=1.57,<2.0"
 grpcio = [
     {version = ">=1.63.2,<2.0.0", markers = "python_version < \"3.13\""},
     {version = ">=1.66.2,<2.0.0", markers = "python_version >= \"3.13\""},
 ]
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.34.1"
-opentelemetry-proto = "1.34.1"
-opentelemetry-sdk = ">=1.34.1,<1.35.0"
-typing-extensions = ">=4.5.0"
+opentelemetry-exporter-otlp-proto-common = "1.35.0"
+opentelemetry-proto = "1.35.0"
+opentelemetry-sdk = ">=1.35.0,<1.36.0"
+typing-extensions = ">=4.6.0"
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.34.1"
+version = "1.35.0"
 description = "OpenTelemetry Python Proto"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
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-    {file = "opentelemetry_proto-1.34.1.tar.gz", hash = "sha256:16286214e405c211fc774187f3e4bbb1351290b8dfb88e8948af209ce85b719e"},
+    {file = "opentelemetry_proto-1.35.0-py3-none-any.whl", hash = "sha256:98fffa803164499f562718384e703be8d7dfbe680192279a0429cb150a2f8809"},
+    {file = "opentelemetry_proto-1.35.0.tar.gz", hash = "sha256:532497341bd3e1c074def7c5b00172601b28bb83b48afc41a4b779f26eb4ee05"},
 ]
 
 [package.dependencies]
-protobuf = ">=5.0,<6.0"
+protobuf = ">=5.0,<7.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.34.1"
+version = "1.35.0"
 description = "OpenTelemetry Python SDK"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "opentelemetry_sdk-1.34.1-py3-none-any.whl", hash = "sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e"},
-    {file = "opentelemetry_sdk-1.34.1.tar.gz", hash = "sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d"},
+    {file = "opentelemetry_sdk-1.35.0-py3-none-any.whl", hash = "sha256:223d9e5f5678518f4842311bb73966e0b6db5d1e0b74e35074c052cd2487f800"},
+    {file = "opentelemetry_sdk-1.35.0.tar.gz", hash = "sha256:2a400b415ab68aaa6f04e8a6a9f6552908fb3090ae2ff78d6ae0c597ac581954"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.34.1"
-opentelemetry-semantic-conventions = "0.55b1"
+opentelemetry-api = "1.35.0"
+opentelemetry-semantic-conventions = "0.56b0"
 typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.55b1"
+version = "0.56b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"deepeval\""
 files = [
-    {file = "opentelemetry_semantic_conventions-0.55b1-py3-none-any.whl", hash = "sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed"},
-    {file = "opentelemetry_semantic_conventions-0.55b1.tar.gz", hash = "sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3"},
+    {file = "opentelemetry_semantic_conventions-0.56b0-py3-none-any.whl", hash = "sha256:df44492868fd6b482511cc43a942e7194be64e94945f572db24df2e279a001a2"},
+    {file = "opentelemetry_semantic_conventions-0.56b0.tar.gz", hash = "sha256:c114c2eacc8ff6d3908cb328c811eaf64e6d68623840be9224dc829c4fd6c2ea"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.34.1"
+opentelemetry-api = "1.35.0"
 typing-extensions = ">=4.5.0"
 
+[[package]]
+name = "orderly-set"
+version = "5.5.0"
+description = "Orderly set"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"docs\""
+files = [
+    {file = "orderly_set-5.5.0-py3-none-any.whl", hash = "sha256:46f0b801948e98f427b412fcabb831677194c05c3b699b80de260374baa0b1e7"},
+    {file = "orderly_set-5.5.0.tar.gz", hash = "sha256:e87185c8e4d8afa64e7f8160ee2c542a475b738bc891dc3f58102e654125e6ce"},
+]
+
+[package.extras]
+coverage = ["coverage (>=7.6.0,<7.7.0)"]
+dev = ["bump2version (>=1.0.0,<1.1.0)", "ipdb (>=0.13.0,<0.14.0)"]
+optimize = ["orjson"]
+static = ["flake8 (>=7.1.0,<7.2.0)", "flake8-pyproject (>=1.2.3,<1.3.0)"]
+test = ["pytest (>=8.3.0,<8.4.0)", "pytest-benchmark (>=5.1.0,<5.2.0)", "pytest-cov (>=6.0.0,<6.1.0)", "python-dotenv (>=1.0.0,<1.1.0)"]
+
 [[package]]
 name = "orjson"
 version = "3.10.18"
@@ -6744,7 +6828,7 @@ description = "Fast, correct Python JSON library supporting dataclasses, datetim
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation != \"PyPy\""
+markers = "(sys_platform != \"emscripten\" or extra == \"langchain\" or extra == \"deepeval\") and (sys_platform != \"emscripten\" or platform_python_implementation != \"PyPy\")"
 files = [
     {file = "orjson-3.10.18-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a45e5d68066b408e4bc383b6e4ef05e717c65219a9e1390abc6155a520cac402"},
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@@ -7106,7 +7190,7 @@ description = "Pexpect allows easy control of interactive console applications."
 optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "(extra == \"notebook\" or extra == \"dev\") and sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\" and (extra == \"notebook\" or extra == \"dev\")"
 files = [
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@@ -7133,101 +7217,126 @@ numpy = "*"
 
 [[package]]
 name = "pillow"
-version = "11.2.1"
+version = "11.3.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 groups = ["main"]
-markers = "(extra == \"notebook\" or extra == \"dev\") and (os_name != \"nt\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")"
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 [package.dependencies]
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 typing-extensions = ">=4.12.2"
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 [package.extras]
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 [[package]]
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 [package.extras]
 benchmarks = ["pytest-benchmark"]
 dev = ["pyright", "ruff (==0.4.1)"]
-ray = ["ray[data] (<2.38) ; python_version < \"3.12\""]
-tests = ["boto3", "datasets", "duckdb", "ml-dtypes", "pandas", "pillow", "polars[pandas,pyarrow]", "pytest", "tensorflow", "tqdm"]
+ray = ["ray[data] (<2.38) ; python_full_version < \"3.12.0\""]
+tests = ["boto3", "datafusion", "datasets", "duckdb", "ml-dtypes", "pandas", "pillow", "polars[pandas,pyarrow]", "pytest", "tensorflow", "tqdm"]
 torch = ["torch"]
 
 [[package]]
@@ -8243,15 +8354,15 @@ extra = ["pygments (>=2.19.1)"]
 
 [[package]]
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+version = "2.5.12"
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 [[package]]
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 description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
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 optional = true
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "extra == \"deepeval\" and sys_platform == \"win32\""
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 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "(extra == \"notebook\" or extra == \"dev\") and os_name == \"nt\""
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 [package.dependencies]
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+greenlet = {version = ">=1", optional = true, markers = "python_version < \"3.14\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\") or extra == \"asyncio\""}
 typing-extensions = ">=4.6.0"
 
 [package.extras]
-aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
-aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
-asyncio = ["greenlet (!=0.4.17)"]
-asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
+aiomysql = ["aiomysql (>=0.2.0)", "greenlet (>=1)"]
+aioodbc = ["aioodbc", "greenlet (>=1)"]
+aiosqlite = ["aiosqlite", "greenlet (>=1)", "typing_extensions (!=3.10.0.1)"]
+asyncio = ["greenlet (>=1)"]
+asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (>=1)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
@@ -10346,7 +10484,7 @@ mysql-connector = ["mysql-connector-python"]
 oracle = ["cx_oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
-postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
+postgresql-asyncpg = ["asyncpg", "greenlet (>=1)"]
 postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
 postgresql-psycopg = ["psycopg (>=3.0.7)"]
 postgresql-psycopg2binary = ["psycopg2-binary"]
@@ -10357,14 +10495,14 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "sqlglot"
-version = "26.31.0"
+version = "27.0.0"
 description = "An easily customizable SQL parser and transpiler"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "sqlglot-26.31.0-py3-none-any.whl", hash = "sha256:1f0e1071b53faebdfcbfa019a831ce0c2b71e4d825f0f08306c5f20c1aef0898"},
-    {file = "sqlglot-26.31.0.tar.gz", hash = "sha256:e9b8f52d02e21636cd7e463af29db0b86707437b9d468b7b2166b67fa96cdd87"},
+    {file = "sqlglot-27.0.0-py3-none-any.whl", hash = "sha256:96722da415a607914b1c49acd8f4ffbe65e5c2feee9254a9edf63f70e0fe0208"},
+    {file = "sqlglot-27.0.0.tar.gz", hash = "sha256:828736ff811a304e3bf6b05386aa0461a10f77f95e93dd1a2febc20f0fc4ada7"},
 ]
 
 [package.extras]
@@ -10406,18 +10544,19 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
 name = "starlette"
-version = "0.45.3"
+version = "0.47.1"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "starlette-0.45.3-py3-none-any.whl", hash = "sha256:dfb6d332576f136ec740296c7e8bb8c8a7125044e7c6da30744718880cdd059d"},
-    {file = "starlette-0.45.3.tar.gz", hash = "sha256:2cbcba2a75806f8a41c722141486f37c28e30a0921c5f6fe4346cb0dcee1302f"},
+    {file = "starlette-0.47.1-py3-none-any.whl", hash = "sha256:5e11c9f5c7c3f24959edbf2dffdc01bba860228acf657129467d8a7468591527"},
+    {file = "starlette-0.47.1.tar.gz", hash = "sha256:aef012dd2b6be325ffa16698f9dc533614fb1cebd593a906b90dc1025529a79b"},
 ]
 
 [package.dependencies]
 anyio = ">=3.6.2,<5"
+typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\""}
 
 [package.extras]
 full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
@@ -10785,15 +10924,15 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "transformers"
-version = "4.53.0"
+version = "4.53.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = true
 python-versions = ">=3.9.0"
 groups = ["main"]
 markers = "extra == \"huggingface\" or extra == \"ollama\" or extra == \"codegraph\""
 files = [
-    {file = "transformers-4.53.0-py3-none-any.whl", hash = "sha256:7d8039ff032c01a2d7f8a8fe0066620367003275f023815a966e62203f9f5dd7"},
-    {file = "transformers-4.53.0.tar.gz", hash = "sha256:f89520011b4a73066fdc7aabfa158317c3934a22e3cd652d7ffbc512c4063841"},
+    {file = "transformers-4.53.2-py3-none-any.whl", hash = "sha256:db8f4819bb34f000029c73c3c557e7d06fc1b8e612ec142eecdae3947a9c78bf"},
+    {file = "transformers-4.53.2.tar.gz", hash = "sha256:6c3ed95edfb1cba71c4245758f1b4878c93bf8cde77d076307dacb2cbbd72be2"},
 ]
 
 [package.dependencies]
@@ -10810,22 +10949,22 @@ tqdm = ">=4.27"
 
 [package.extras]
 accelerate = ["accelerate (>=0.26.0)"]
-all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<0.7)", "librosa", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision"]
+all = ["Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "av", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<0.7)", "librosa", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision"]
 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 benchmark = ["optimum-benchmark (>=0.3.0)"]
 codecarbon = ["codecarbon (>=2.8.1)"]
 deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
-deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<0.7)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "pandas (<2.3.0)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "pandas (<2.3.0)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
-dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "kenlm", "kernels (>=0.6.1,<0.7)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "pandas (<2.3.0)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+dev = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<0.7)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "pandas (<2.3.0)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "pandas (<2.3.0)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "kenlm", "kernels (>=0.6.1,<0.7)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "pandas (<2.3.0)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
-hf-xet = ["hf-xet"]
+hf-xet = ["hf_xet"]
 hub-kernels = ["kernels (>=0.6.1,<0.7)"]
 integrations = ["kernels (>=0.6.1,<0.7)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
-ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
+ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"]
 modelcreation = ["cookiecutter (==1.7.3)"]
 natten = ["natten (>=0.14.6,<0.15.0)"]
 num2words = ["num2words"]
@@ -10843,7 +10982,7 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -10853,7 +10992,7 @@ tokenizers = ["tokenizers (>=0.21,<0.22)"]
 torch = ["accelerate (>=0.26.0)", "torch (>=2.1)"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "tqdm (>=4.27)"]
 video = ["av"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -10925,28 +11064,26 @@ core = ["tree-sitter (>=0.22,<1.0)"]
 
 [[package]]
 name = "tweepy"
-version = "4.14.0"
-description = "Twitter library for Python"
+version = "4.16.0"
+description = "Library for accessing the X API (Twitter)"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"dev\""
 files = [
-    {file = "tweepy-4.14.0-py3-none-any.whl", hash = "sha256:db6d3844ccc0c6d27f339f12ba8acc89912a961da513c1ae50fa2be502a56afb"},
-    {file = "tweepy-4.14.0.tar.gz", hash = "sha256:1f9f1707d6972de6cff6c5fd90dfe6a449cd2e0d70bd40043ffab01e07a06c8c"},
+    {file = "tweepy-4.16.0-py3-none-any.whl", hash = "sha256:48d1a1eb311d2c4b8990abcfa6f9fa2b2ad61be05c723b1a9b4f242656badae2"},
+    {file = "tweepy-4.16.0.tar.gz", hash = "sha256:1d95cbdc50bf6353a387f881f2584eaf60d14e00dbbdd8872a73de79c66878e3"},
 ]
 
 [package.dependencies]
 oauthlib = ">=3.2.0,<4"
 requests = ">=2.27.0,<3"
-requests-oauthlib = ">=1.2.0,<2"
+requests-oauthlib = ">=1.2.0,<3"
 
 [package.extras]
 async = ["aiohttp (>=3.7.3,<4)", "async-lru (>=1.0.3,<3)"]
 dev = ["coverage (>=4.4.2)", "coveralls (>=2.1.0)", "tox (>=3.21.0)"]
-docs = ["myst-parser (==0.15.2)", "readthedocs-sphinx-search (==0.1.1)", "sphinx (==4.2.0)", "sphinx-hoverxref (==0.7b1)", "sphinx-rtd-theme (==1.0.0)", "sphinx-tabs (==3.2.0)"]
-socks = ["requests[socks] (>=2.27.0,<3)"]
-test = ["vcrpy (>=1.10.3)"]
+test = ["urllib3 (<2)", "vcrpy (>=1.10.3)"]
 
 [[package]]
 name = "twine"
@@ -11005,15 +11142,15 @@ files = [
 
 [[package]]
 name = "types-python-dateutil"
-version = "2.9.0.20250516"
+version = "2.9.0.20250708"
 description = "Typing stubs for python-dateutil"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"notebook\" or extra == \"dev\""
 files = [
-    {file = "types_python_dateutil-2.9.0.20250516-py3-none-any.whl", hash = "sha256:2b2b3f57f9c6a61fba26a9c0ffb9ea5681c9b83e69cd897c6b5f668d9c0cab93"},
-    {file = "types_python_dateutil-2.9.0.20250516.tar.gz", hash = "sha256:13e80d6c9c47df23ad773d54b2826bd52dbbb41be87c3f339381c1700ad21ee5"},
+    {file = "types_python_dateutil-2.9.0.20250708-py3-none-any.whl", hash = "sha256:4d6d0cc1cc4d24a2dc3816024e502564094497b713f7befda4d5bc7a8e3fd21f"},
+    {file = "types_python_dateutil-2.9.0.20250708.tar.gz", hash = "sha256:ccdbd75dab2d6c9696c350579f34cffe2c281e4c5f27a585b2a2438dd1d5c8ab"},
 ]
 
 [[package]]
@@ -11031,14 +11168,14 @@ files = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.12.2"
-description = "Backported and Experimental Type Hints for Python 3.8+"
+version = "4.14.1"
+description = "Backported and Experimental Type Hints for Python 3.9+"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
-    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+    {file = "typing_extensions-4.14.1-py3-none-any.whl", hash = "sha256:d1e1e3b58374dc93031d6eda2420a48ea44a36c2b4766a4fdeb3710755731d76"},
+    {file = "typing_extensions-4.14.1.tar.gz", hash = "sha256:38b39f4aeeab64884ce9f74c94263ef78f3c22467c8724005483154c26648d36"},
 ]
 
 [[package]]
@@ -11176,15 +11313,15 @@ files = [
 
 [[package]]
 name = "unstructured"
-version = "0.18.1"
+version = "0.18.5"
 description = "A library that prepares raw documents for downstream ML tasks."
 optional = true
-python-versions = ">=3.9.0"
+python-versions = ">=3.10.0"
 groups = ["main"]
 markers = "extra == \"docs\""
 files = [
-    {file = "unstructured-0.18.1-py3-none-any.whl", hash = "sha256:c5f5f2e9fad7cf635ab712590a954438c8103ec63b100db00af4b5d2a1edd102"},
-    {file = "unstructured-0.18.1.tar.gz", hash = "sha256:e0cccc9688a00cef2f63d10d5e5ad67077adc8038f688e05b647cc75c1a0db58"},
+    {file = "unstructured-0.18.5-py3-none-any.whl", hash = "sha256:d8827e00bb2d7a5bcf55a60caae61ec45fe3da969f94db52335da8b7a050655c"},
+    {file = "unstructured-0.18.5.tar.gz", hash = "sha256:371f74e7f6c969a71cb6a2b04e4f72b7091c16a66eec6b971303b7f9d3f2cf43"},
 ]
 
 [package.dependencies]
@@ -11241,28 +11378,41 @@ xlsx = ["networkx", "openpyxl", "pandas", "xlrd"]
 
 [[package]]
 name = "unstructured-client"
-version = "0.32.3"
+version = "0.25.9"
 description = "Python Client SDK for Unstructured API"
 optional = true
-python-versions = ">=3.9"
+python-versions = ">=3.8"
 groups = ["main"]
 markers = "extra == \"docs\""
 files = [
-    {file = "unstructured_client-0.32.3-py3-none-any.whl", hash = "sha256:50b8198a3c3f984bdb53d848be7665d352093a99841858976f596cc2105903ec"},
-    {file = "unstructured_client-0.32.3.tar.gz", hash = "sha256:1426d03325f7b93daad524ad2b954f1e7cceb0c15e67a4f4e88b49220dd2472c"},
+    {file = "unstructured-client-0.25.9.tar.gz", hash = "sha256:fcc461623f58fefb0e22508e28bf653a8f6934b9779cb4a90dd68d77a39fb5b2"},
+    {file = "unstructured_client-0.25.9-py3-none-any.whl", hash = "sha256:c984c01878c8fc243be7c842467d1113a194d885ab6396ae74258ee42717c5b5"},
 ]
 
 [package.dependencies]
-aiofiles = ">=24.1.0"
+certifi = ">=2023.7.22"
+charset-normalizer = ">=3.2.0"
 cryptography = ">=3.1"
-eval-type-backport = ">=0.2.0"
+dataclasses-json = ">=0.6.4"
+deepdiff = ">=6.0"
 httpx = ">=0.27.0"
+idna = ">=3.4"
+jsonpath-python = ">=1.0.6"
+marshmallow = ">=3.19.0"
+mypy-extensions = ">=1.0.0"
 nest-asyncio = ">=1.6.0"
-pydantic = ">=2.10.3"
+packaging = ">=23.1"
 pypdf = ">=4.0"
 python-dateutil = ">=2.8.2"
+requests = ">=2.31.0"
 requests-toolbelt = ">=1.0.0"
-typing-inspection = ">=0.4.0"
+six = ">=1.16.0"
+typing-extensions = ">=4.7.1"
+typing-inspect = ">=0.9.0"
+urllib3 = ">=1.26.18"
+
+[package.extras]
+dev = ["pylint (==3.1.0)"]
 
 [[package]]
 name = "uri-template"
@@ -11313,15 +11463,15 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.34.0"
+version = "0.35.0"
 description = "The lightning-fast ASGI server."
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"api\" or extra == \"chromadb\""
 files = [
-    {file = "uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4"},
-    {file = "uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9"},
+    {file = "uvicorn-0.35.0-py3-none-any.whl", hash = "sha256:197535216b25ff9b785e29a0b79199f55222193d47f820816e7da751e9bc8d4a"},
+    {file = "uvicorn-0.35.0.tar.gz", hash = "sha256:bc662f087f7cf2ce11a1d7fd70b90c9f98ef2e2831556dd078d131b96cc94a01"},
 ]
 
 [package.dependencies]
@@ -11332,12 +11482,12 @@ httptools = {version = ">=0.6.3", optional = true, markers = "extra == \"standar
 python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
 typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
+uvloop = {version = ">=0.15.1", optional = true, markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
 watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
 
 [package.extras]
-standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
 name = "uvloop"
@@ -11346,7 +11496,7 @@ description = "Fast implementation of asyncio event loop on top of libuv"
 optional = true
 python-versions = ">=3.8.0"
 groups = ["main"]
-markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"chromadb\""
+markers = "platform_python_implementation != \"PyPy\" and extra == \"chromadb\" and sys_platform != \"win32\" and sys_platform != \"cygwin\""
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -11607,27 +11757,30 @@ files = [
 
 [[package]]
 name = "weaviate-client"
-version = "4.9.6"
+version = "4.15.4"
 description = "A python native Weaviate client"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"weaviate\""
 files = [
-    {file = "weaviate_client-4.9.6-py3-none-any.whl", hash = "sha256:1d3b551939c0f7314f25e417cbcf4cf34e7adf942627993eef36ae6b4a044673"},
-    {file = "weaviate_client-4.9.6.tar.gz", hash = "sha256:56d67c40fc94b0d53e81e0aa4477baaebbf3646fbec26551df66e396a72adcb6"},
+    {file = "weaviate_client-4.15.4-py3-none-any.whl", hash = "sha256:870b73495b8e5849003690f7c36f2795b90765e62482f07ab71275dbd21b271d"},
+    {file = "weaviate_client-4.15.4.tar.gz", hash = "sha256:005e7a6cee52ff4ac66f244a572b5ed98dd0e15bfda380979a88fddf692720df"},
 ]
 
 [package.dependencies]
-authlib = ">=1.2.1,<1.3.2"
-grpcio = ">=1.57.0,<2.0.0"
-grpcio-health-checking = ">=1.57.0,<2.0.0"
-grpcio-tools = ">=1.57.0,<2.0.0"
-httpx = ">=0.25.0,<=0.27.0"
-pydantic = ">=2.5.0,<3.0.0"
-requests = ">=2.30.0,<3.0.0"
+authlib = ">=1.2.1,<2.0.0"
+deprecation = ">=2.1.0,<3.0.0"
+grpcio = ">=1.66.2,<2.0.0"
+grpcio-health-checking = ">=1.66.2,<2.0.0"
+grpcio-tools = ">=1.66.2,<2.0.0"
+httpx = ">=0.26.0,<0.29.0"
+pydantic = ">=2.8.0,<3.0.0"
 validators = "0.34.0"
 
+[package.extras]
+agents = ["weaviate-agents (>=0.3.0,<1.0.0)"]
+
 [[package]]
 name = "webcolors"
 version = "24.11.1"
@@ -12074,7 +12227,7 @@ description = "Zstandard bindings for Python"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"chromadb\""
+markers = "extra == \"langchain\" or extra == \"deepeval\" or extra == \"chromadb\""
 files = [
     {file = "zstandard-0.23.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bf0a05b6059c0528477fba9054d09179beb63744355cab9f38059548fedd46a9"},
     {file = "zstandard-0.23.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fc9ca1c9718cb3b06634c7c8dec57d24e9438b2aa9a0f02b8bb36bf478538880"},
@@ -12215,4 +12368,4 @@ weaviate = ["weaviate-client"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<=3.13"
-content-hash = "ca2a3e8260092933419793efe202d50ae7b1c6ce738750876fd5f64a31718790"
+content-hash = "cae222c6c3fba19fc5f42c408a1abd7adae644d357cb9854b1c6da1ab969889c"
diff --git a/pyproject.toml b/pyproject.toml
index eebf658ae..5b2131ca4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,76 +19,76 @@ classifiers = [
     "Operating System :: Microsoft :: Windows",
 ]
 dependencies = [
-    "openai>=1.59.4,<2",
-    "python-dotenv>=1.0.1",
-    "pydantic==2.10.5",
+    "openai>=1.80.1,<2",
+    "python-dotenv>=1.0.1,<2.0.0",
+    "pydantic>=2.10.5,<3.0.0",
     "pydantic-settings>=2.2.1,<3",
-    "typing_extensions==4.12.2",
-    "nltk==3.9.1",
-    "numpy>=1.26.4, <=2.1",
-    "pandas>=2.2.2",
+    "typing_extensions>=4.12.2,<5.0.0",
+    "nltk>=3.9.1,<4.0.0",
+    "numpy>=1.26.4, <=2.3.1",
+    "pandas>=2.2.2,<3.0.0",
     # Note: New s3fs and boto3 versions don't work well together
     # Always use comaptible fixed versions of these two dependencies
     "s3fs[boto3]==2025.3.2",
-    "sqlalchemy==2.0.39",
-    "aiosqlite>=0.20.0,<0.21",
-    "tiktoken<=0.9.0",
+    "sqlalchemy>=2.0.39,<3.0.0",
+    "aiosqlite>=0.20.0,<1.0.0",
+    "tiktoken>=0.8.0,<1.0.0",
     "litellm>=1.57.4, <1.71.0",
-    "instructor>=1.7.2",
+    "instructor>=1.9.1,<2.0.0",
     "langfuse>=2.32.0,<3",
-    "filetype>=1.2.0",
-    "aiohttp>=3.11.14",
-    "aiofiles>=23.2.1",
+    "filetype>=1.2.0,<2.0.0",
+    "aiohttp>=3.11.14,<4.0.0",
+    "aiofiles>=23.2.1,<24.0.0",
     "rdflib>=7.1.4,<7.2.0",
     "graphistry>=0.33.5,<0.34",
     "pypdf>=4.1.0,<6.0.0",
     "jinja2>=3.1.3,<4",
     "matplotlib>=3.8.3,<4",
     "networkx>=3.4.2,<4",
-    "lancedb==0.21.0",
+    "lancedb>=0.24.0,<1.0.0",
     "alembic>=1.13.3,<2",
     "pre-commit>=4.0.1,<5",
     "scikit-learn>=1.6.1,<2",
     "limits>=4.4.1,<5",
-    "fastapi==0.115.7",
-    "python-multipart==0.0.20",
-    "fastapi-users[sqlalchemy]==14.0.1",
+    "fastapi>=0.115.7,<1.0.0",
+    "python-multipart>=0.0.20,<1.0.0",
+    "fastapi-users[sqlalchemy]>=14.0.1,<15.0.0",
     "dlt[sqlalchemy]>=1.9.0,<2",
     "sentry-sdk[fastapi]>=2.9.0,<3",
     "structlog>=25.2.0,<26",
-    "pympler>=1.1",
-    "onnxruntime<=1.21.1",
-    "pylance==0.22.0",
-    "kuzu==0.9.0"
+    "pympler>=1.1,<2.0.0",
+    "onnxruntime>=1.0.0,<2.0.0",
+    "pylance>=0.22.0,<1.0.0",
+    "kuzu (==0.11.0)"
 ]
 
 [project.optional-dependencies]
 api = [
-    "uvicorn==0.34.0",
+    "uvicorn>=0.34.0,<1.0.0",
     "gunicorn>=20.1.0,<24",
-    "websockets>=15.0.1"
+    "websockets>=15.0.1,<16.0.0"
 ]
 distributed = [
-    "modal==1.0.5",
+    "modal>=1.0.5,<2.0.0",
 ]
-weaviate = ["weaviate-client==4.9.6"]
+weaviate = ["weaviate-client>=4.9.6,<5.0.0"]
 qdrant = ["qdrant-client>=1.14.2,<2"]
-neo4j = ["neo4j>=5.20.0,<6"]
+neo4j = ["neo4j>=5.28.0,<6"]
 postgres = [
     "psycopg2>=2.9.10,<3",
     "pgvector>=0.3.5,<0.4",
-    "asyncpg==0.30.0",
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     "pgvector>=0.3.5,<0.4",
-    "asyncpg==0.30.0",
-    "psycopg2-binary==2.9.10",
+    "asyncpg>=0.30.0,<1.0.0",
+    "psycopg2-binary>=2.9.10,<3.0.0",
 ]
 notebook = ["notebook>=7.1.0,<8"]
 langchain = [
-    "langsmith==0.2.3",
-    "langchain_text_splitters==0.3.2",
+    "langsmith>=0.2.3,<1.0.0",
+    "langchain_text_splitters>=0.3.2,<1.0.0",
 ]
 llama-index = ["llama-index-core>=0.12.11,<0.13"]
 gemini = ["google-generativeai>=0.8.4,<0.9"]
@@ -98,14 +98,14 @@ mistral = ["mistral-common>=1.5.2,<2"]
 anthropic = ["anthropic>=0.26.1,<0.27"]
 deepeval = ["deepeval>=2.0.1,<3"]
 posthog = ["posthog>=3.5.0,<4"]
-falkordb = ["falkordb==1.0.9"]
-groq = ["groq==0.8.0"]
+falkordb = ["falkordb>=1.0.9,<2.0.0"]
+groq = ["groq>=0.8.0,<1.0.0"]
 milvus = ["pymilvus>=2.5.0,<3"]
 chromadb = [
     "chromadb>=0.3.0,<0.7",
     "pypika==0.48.8",
 ]
-docs = ["unstructured[csv, doc, docx, epub, md, odt, org, ppt, pptx, rst, rtf, tsv, xlsx]>=0.16.13,<18"]
+docs = ["unstructured[csv, doc, docx, epub, md, odt, org, ppt, pptx, rst, rtf, tsv, xlsx]>=0.18.1,<19"]
 codegraph = [
     "fastembed<=0.6.0 ; python_version < '3.13'",
     "transformers>=4.46.3,<5",
@@ -126,7 +126,7 @@ graphiti = ["graphiti-core>=0.7.0,<0.8"]
 aws = ["s3fs[boto3]==2025.3.2"]
 dev = [
     "pytest>=7.4.0,<8",
-    "pytest-cov>=6.1.1",
+    "pytest-cov>=6.1.1,<7.0.0",
     "pytest-asyncio>=0.21.1,<0.22",
     "coverage>=7.3.2,<8",
     "mypy>=1.7.1,<2",
@@ -134,13 +134,13 @@ dev = [
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     "pylint>=3.0.3,<4",
     "ruff>=0.9.2,<1.0.0",
-    "tweepy==4.14.0",
+    "tweepy>=4.14.0,<5.0.0",
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     "mkdocs-material>=9.5.42,<10",
     "mkdocs-minify-plugin>=0.8.0,<0.9",
     "mkdocstrings[python]>=0.26.2,<0.27",
 ]
-debug = ["debugpy==1.8.9"]
+debug = ["debugpy>=1.8.9,<2.0.0"]
 
 [project.urls]
 Homepage = "https://www.cognee.ai"
diff --git a/uv.lock b/uv.lock
index 412b599a4..44b78bb01 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,12 +1,18 @@
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-revision = 2
 requires-python = ">=3.10, <=3.13"
 resolution-markers = [
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-    "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version >= '3.13' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version == '3.12.*' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version == '3.11.*' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version < '3.11' and platform_python_implementation != 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version >= '3.13' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version == '3.12.*' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version == '3.11.*' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version < '3.11' and platform_python_implementation == 'PyPy' and sys_platform != 'emscripten'",
+    "python_full_version >= '3.13' and sys_platform == 'emscripten'",
+    "python_full_version == '3.12.*' and sys_platform == 'emscripten'",
+    "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
+    "python_full_version < '3.11' and sys_platform == 'emscripten'",
 ]
 
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-version = "3.12.13"
+version = "3.12.14"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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 [[package]]
@@ -7261,62 +7397,62 @@ name = "secretstorage"
 version = "3.3.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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