diff --git a/cognee/infrastructure/llm/config.py b/cognee/infrastructure/llm/config.py
index 602c33080..262a48395 100644
--- a/cognee/infrastructure/llm/config.py
+++ b/cognee/infrastructure/llm/config.py
@@ -6,6 +6,7 @@ class LLMConfig(BaseSettings):
     llm_model: str = "gpt-4o"
     llm_endpoint: str = ""
     llm_api_key: str = ""
+    llm_streaming:bool = False
 
     model_config = SettingsConfigDict(env_file = ".env", extra = "allow")
 
diff --git a/cognee/infrastructure/llm/get_llm_client.py b/cognee/infrastructure/llm/get_llm_client.py
index 8840df309..89ad75e14 100644
--- a/cognee/infrastructure/llm/get_llm_client.py
+++ b/cognee/infrastructure/llm/get_llm_client.py
@@ -18,7 +18,7 @@ def get_llm_client():
 
     if provider == LLMProvider.OPENAI:
         from .openai.adapter import OpenAIAdapter
-        return OpenAIAdapter(llm_config.llm_api_key, llm_config.llm_model)
+        return OpenAIAdapter(llm_config.llm_api_key, llm_config.llm_model, llm_config.llm_streaming)
     elif provider == LLMProvider.OLLAMA:
         from .generic_llm_api.adapter import GenericAPIAdapter
         return GenericAPIAdapter(llm_config.llm_endpoint, llm_config.llm_api_key, llm_config.llm_model, "Ollama")
diff --git a/cognee/infrastructure/llm/openai/adapter.py b/cognee/infrastructure/llm/openai/adapter.py
index c936b8684..f01827509 100644
--- a/cognee/infrastructure/llm/openai/adapter.py
+++ b/cognee/infrastructure/llm/openai/adapter.py
@@ -32,12 +32,12 @@ class OpenAIAdapter(LLMInterface):
     api_key: str
   
     """Adapter for OpenAI's GPT-3, GPT=4 API"""
-    def __init__(self, api_key: str, model:str):
+    def __init__(self, api_key: str, model:str, streaming:bool = False):
         self.aclient = instructor.from_openai(AsyncOpenAI(api_key = api_key))
         self.client = instructor.from_openai(OpenAI(api_key = api_key))
         self.model = model
         self.api_key = api_key
-
+        self.streaming = streaming
     @retry(stop = stop_after_attempt(5))
     def completions_with_backoff(self, **kwargs):
         """Wrapper around ChatCompletion.create w/ backoff"""
diff --git a/cognee/modules/search/graph/search_neighbour.py b/cognee/modules/search/graph/search_neighbour.py
index f6269f848..b5d1da728 100644
--- a/cognee/modules/search/graph/search_neighbour.py
+++ b/cognee/modules/search/graph/search_neighbour.py
@@ -1,7 +1,7 @@
 """ Fetches the context of a given node in the graph"""
 from typing import Union, Dict
 
-from neo4j import AsyncSession
+
 
 from cognee.infrastructure.databases.graph.get_graph_client import get_graph_client
 import networkx as nx
@@ -43,6 +43,7 @@ async def search_neighbour(graph: Union[nx.Graph, any], query: str,
 
 
     elif graph_config.graph_engine  == GraphDBType.NEO4J:
+        from neo4j import AsyncSession
         if isinstance(graph, AsyncSession):
             cypher_query = """
             MATCH (target {id: $node_id})
diff --git a/poetry.lock b/poetry.lock
index 360f7abc2..69cd057e5 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -171,19 +171,20 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.21.3"
+version = "0.26.1"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "anthropic-0.21.3-py3-none-any.whl", hash = "sha256:5869115453b543a46ded6515c9f29b8d610b6e94bbba3230ad80ac947d2b0862"},
-    {file = "anthropic-0.21.3.tar.gz", hash = "sha256:02f1ab5694c497e2b2d42d30d51a4f2edcaca92d2ec86bb64fe78a9c7434a869"},
+    {file = "anthropic-0.26.1-py3-none-any.whl", hash = "sha256:2812b9b250b551ed8a1f0a7e6ae3f005654098994f45ebca5b5808bd154c9628"},
+    {file = "anthropic-0.26.1.tar.gz", hash = "sha256:26680ff781a6f678a30a1dccd0743631e602b23a47719439ffdef5335fa167d8"},
 ]
 
 [package.dependencies]
 anyio = ">=3.5.0,<5"
 distro = ">=1.7.0,<2"
 httpx = ">=0.23.0,<1"
+jiter = ">=0.1.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
 tokenizers = ">=0.13.0"
@@ -195,13 +196,13 @@ vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "4.3.0"
+version = "4.4.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
-    {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
+    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
+    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
 ]
 
 [package.dependencies]
@@ -215,17 +216,6 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphin
 test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
 trio = ["trio (>=0.23)"]
 
-[[package]]
-name = "appdirs"
-version = "1.4.4"
-description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
-optional = false
-python-versions = "*"
-files = [
-    {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
-    {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
-]
-
 [[package]]
 name = "appnope"
 version = "0.1.4"
@@ -1028,63 +1018,63 @@ test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
 [[package]]
 name = "coverage"
-version = "7.5.1"
+version = "7.5.2"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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@@ -1330,44 +1320,6 @@ files = [
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-[[package]]
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-tenacity = ">=8.2.3,<8.3.0"
-tqdm = "*"
-typer = "*"
-
-[package.extras]
-dev = ["black"]
-
 [[package]]
 name = "defusedxml"
 version = "0.7.1"
@@ -1379,23 +1331,6 @@ files = [
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 ]
 
-[[package]]
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-description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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-
-[package.extras]
-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
-
 [[package]]
 name = "deprecation"
 version = "2.1.0"
@@ -1448,13 +1383,13 @@ files = [
 
 [[package]]
 name = "dlt"
-version = "0.4.10"
+version = "0.4.11"
 description = "dlt is an open-source python-first scalable data loading library that does not require any backend to run."
 optional = false
 python-versions = "<3.13,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -1519,25 +1454,15 @@ files = [
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 ]
 
-[[package]]
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-description = "A pure python-based utility to extract text and images from docx files."
-optional = false
-python-versions = "*"
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-]
-
 [[package]]
 name = "dspy-ai"
-version = "2.4.3"
+version = "2.4.9"
 description = "DSPy"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1547,19 +1472,23 @@ joblib = ">=1.3.2,<1.4.0"
 openai = ">=0.28.1,<2.0.0"
 optuna = "*"
 pandas = "*"
-pydantic = ">=2.5.0,<=2.7"
+pydantic = ">=2.0,<3.0"
 regex = "*"
 requests = "*"
+structlog = "*"
 tqdm = "*"
 ujson = "*"
 
 [package.extras]
 anthropic = ["anthropic (>=0.18.0,<0.19.0)"]
+aws = ["boto3 (>=1.34.78,<1.35.0)"]
 chromadb = ["chromadb (>=0.4.14,<0.5.0)"]
 dev = ["pytest (>=6.2.5)"]
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 faiss-cpu = ["faiss-cpu", "sentence-transformers"]
+google-vertex-ai = ["google-cloud-aiplatform (==1.43.0)"]
 marqo = ["marqo", "marqo (>=3.1.0,<3.2.0)"]
+milvus = ["pymilvus (>=2.3.7,<2.4.0)"]
 mongodb = ["pymongo (>=3.12.0,<3.13.0)"]
 pinecone = ["pinecone-client (>=2.2.4,<2.3.0)"]
 qdrant = ["fastembed", "fastembed (>=0.1.0)", "qdrant-client", "qdrant-client (>=1.6.2)"]
@@ -1623,13 +1552,13 @@ files = [
 
 [[package]]
 name = "duckdb-engine"
-version = "0.11.5"
+version = "0.12.1"
 description = "SQLAlchemy driver for duckdb"
 optional = false
 python-versions = "<4,>=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1651,20 +1580,6 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
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-description = "execnet: rapid multi-Python deployment"
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-
-[package.extras]
-testing = ["hatch", "pre-commit", "pytest", "tox"]
-
 [[package]]
 name = "executing"
 version = "2.0.1"
@@ -1679,19 +1594,6 @@ files = [
 [package.extras]
 tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
-[[package]]
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-description = "Python client for interacting with FalkorDB database"
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-
-[package.dependencies]
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-
 [[package]]
 name = "fastapi"
 version = "0.109.2"
@@ -2045,23 +1947,6 @@ files = [
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 ]
 
-[[package]]
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-optional = false
-python-versions = ">=3.7"
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-[package.dependencies]
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-
-[package.extras]
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-
 [[package]]
 name = "graphistry"
 version = "0.33.8"
@@ -2187,13 +2072,13 @@ colorama = ">=0.4"
 
 [[package]]
 name = "groq"
-version = "0.5.0"
+version = "0.8.0"
 description = "The official Python library for the groq API"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -2476,13 +2361,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.20.3"
+version = "0.20.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -2558,22 +2443,22 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "6.8.0"
+version = "7.1.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "importlib-resources"
@@ -2765,6 +2650,76 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
+[[package]]
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+version = "0.4.0"
+description = "Fast iterable JSON parser."
+optional = false
+python-versions = ">=3.8"
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+]
+
 [[package]]
 name = "jmespath"
 version = "1.0.1"
@@ -3243,17 +3198,17 @@ files = [
 
 [[package]]
 name = "lancedb"
-version = "0.6.13"
+version = "0.8.0"
 description = "lancedb"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3262,7 +3217,7 @@ cachetools = "*"
 deprecation = "*"
 overrides = ">=0.7"
 pydantic = ">=1.10"
-pylance = "0.10.12"
+pylance = "0.11.0"
 ratelimiter = ">=1.0,<2.0"
 requests = ">=2.31.0"
 retry = ">=0.9.2"
@@ -3274,50 +3229,9 @@ azure = ["adlfs (>=2024.2.0)"]
 clip = ["open-clip", "pillow", "torch"]
 dev = ["pre-commit", "ruff"]
 docs = ["mkdocs", "mkdocs-jupyter", "mkdocs-material", "mkdocstrings[python]"]
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 tests = ["aiohttp", "boto3", "duckdb", "pandas (>=1.4)", "polars (>=0.19)", "pytest", "pytest-asyncio", "pytest-mock", "pytz", "tantivy"]
 
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-
 [[package]]
 name = "langchain-community"
 version = "0.0.38"
@@ -3366,39 +3280,6 @@ tenacity = ">=8.1.0,<9.0.0"
 [package.extras]
 extended-testing = ["jinja2 (>=3,<4)"]
 
-[[package]]
-name = "langchain-openai"
-version = "0.1.5"
-description = "An integration package connecting OpenAI and LangChain"
-optional = false
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-
-[[package]]
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-
 [[package]]
 name = "langcodes"
 version = "3.4.0"
@@ -3476,13 +3357,13 @@ test = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "litellm"
-version = "1.37.19"
+version = "1.38.10"
 description = "Library to easily interface with LLM API providers"
 optional = false
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
 files = [
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 [package.dependencies]
@@ -3490,7 +3371,7 @@ aiohttp = "*"
 click = "*"
 importlib-metadata = ">=6.8.0"
 jinja2 = ">=3.1.2,<4.0.0"
-openai = ">=1.0.0"
+openai = ">=1.27.0"
 python-dotenv = ">=0.2.0"
 requests = ">=2.31.0,<3.0.0"
 tiktoken = ">=0.4.0"
@@ -3995,13 +3876,13 @@ pygments = ">2.12.0"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.5.24"
+version = "9.5.25"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4690,13 +4571,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.14.3"
+version = "1.27.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -4711,99 +4592,6 @@ typing-extensions = ">=4.7,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
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@@ -4935,75 +4723,70 @@ files = [
 
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 ]
 
 [package.dependencies]
@@ -5732,7 +5515,7 @@ pyarrow = ">=12,<15.0.1"
 
 [package.extras]
 benchmarks = ["pytest-benchmark"]
-dev = ["ruff (==0.2.2)"]
+dev = ["ruff (==0.4.1)"]
 ray = ["ray[data]"]
 tests = ["boto3", "datasets", "duckdb", "h5py (<3.11)", "ml-dtypes", "pandas", "pillow", "polars[pandas,pyarrow]", "pytest", "tensorflow", "tqdm"]
 torch = ["torch"]
@@ -5830,16 +5613,6 @@ files = [
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 ]
 
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 [[package]]
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 version = "7.4.4"
@@ -5896,40 +5669,6 @@ black = ">=23"
 pytest = ">=7"
 ruff = ">=0.0.258"
 
-[[package]]
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-optional = false
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-
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-testing = ["filelock"]
-
 [[package]]
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 version = "2.9.0.post0"
@@ -6228,33 +5967,6 @@ urllib3 = ">=1.26.14,<3"
 [package.extras]
 fastembed = ["fastembed (==0.2.6)"]
 
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-description = ""
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-datasets = "*"
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-langchain-community = "*"
-langchain-core = "*"
-langchain-openai = "*"
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-numpy = "*"
-openai = ">1"
-pysbd = ">=0.3.4"
-tiktoken = "*"
-
-[package.extras]
-all = ["sentence-transformers"]
-
 [[package]]
 name = "ratelimiter"
 version = "1.2.0.post0"
@@ -6269,24 +5981,6 @@ files = [
 [package.extras]
 test = ["pytest (>=3.0)", "pytest-asyncio"]
 
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-version = "5.0.4"
-description = "Python client for Redis database and key-value store"
-optional = false
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-
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-ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"]
-
 [[package]]
 name = "referencing"
 version = "0.35.1"
@@ -6634,6 +6328,128 @@ botocore = ">=1.33.2,<2.0a.0"
 [package.extras]
 crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
 
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 [package.extras]
-doc = ["reno", "sphinx", "tornado (>=4.5)"]
+doc = ["reno", "sphinx"]
+test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "terminado"
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+    {file = "tiktoken-0.7.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cabc6dc77460df44ec5b879e68692c63551ae4fae7460dd4ff17181df75f1db7"},
+    {file = "tiktoken-0.7.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8d57f29171255f74c0aeacd0651e29aa47dff6f070cb9f35ebc14c82278f3b25"},
+    {file = "tiktoken-0.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ee92776fdbb3efa02a83f968c19d4997a55c8e9ce7be821ceee04a1d1ee149c"},
+    {file = "tiktoken-0.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e215292e99cb41fbc96988ef62ea63bb0ce1e15f2c147a61acc319f8b4cbe5bf"},
+    {file = "tiktoken-0.7.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:8a81bac94769cab437dd3ab0b8a4bc4e0f9cf6835bcaa88de71f39af1791727a"},
+    {file = "tiktoken-0.7.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d6d73ea93e91d5ca771256dfc9d1d29f5a554b83821a1dc0891987636e0ae226"},
+    {file = "tiktoken-0.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:2bcb28ddf79ffa424f171dfeef9a4daff61a94c631ca6813f43967cb263b83b9"},
+    {file = "tiktoken-0.7.0.tar.gz", hash = "sha256:1077266e949c24e0291f6c350433c6f0971365ece2b173a23bc3b9f9defef6b6"},
 ]
 
 [package.dependencies]
@@ -7761,6 +7528,74 @@ files = [
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
 test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
 
+[[package]]
+name = "transformers"
+version = "4.39.0"
+description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "transformers-4.39.0-py3-none-any.whl", hash = "sha256:7801785b1f016d667467e8c372c1c3653c18fe32ba97952059e3bea79ba22b08"},
+    {file = "transformers-4.39.0.tar.gz", hash = "sha256:517a13cd633b10bea01c92ab0b3059762872c7c29da3d223db9d28e926fe330d"},
+]
+
+[package.dependencies]
+filelock = "*"
+huggingface-hub = ">=0.19.3,<1.0"
+numpy = ">=1.17"
+packaging = ">=20.0"
+pyyaml = ">=5.1"
+regex = "!=2019.12.17"
+requests = "*"
+safetensors = ">=0.4.1"
+tokenizers = ">=0.14,<0.19"
+tqdm = ">=4.27"
+
+[package.extras]
+accelerate = ["accelerate (>=0.21.0)"]
+agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
+all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "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)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision"]
+audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+codecarbon = ["codecarbon (==1.2.0)"]
+deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "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 (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "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", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch", "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", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.19)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "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", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision"]
+docs-specific = ["hf-doc-builder"]
+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)"]
+flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+ftfy = ["ftfy"]
+integrations = ["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)"]
+modelcreation = ["cookiecutter (==1.7.3)"]
+natten = ["natten (>=0.14.6,<0.15.0)"]
+onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
+onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
+optuna = ["optuna"]
+quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (==0.1.5)", "urllib3 (<2.0.0)"]
+ray = ["ray[tune] (>=2.7.0)"]
+retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
+sagemaker = ["sagemaker (>=2.31.0)"]
+sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
+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", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"]
+tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
+tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
+tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+timm = ["timm"]
+tokenizers = ["tokenizers (>=0.14,<0.19)"]
+torch = ["accelerate (>=0.21.0)", "torch"]
+torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
+torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
+torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch", "tqdm (>=4.27)"]
+video = ["av (==9.2.0)", "decord (==0.6.0)"]
+vision = ["Pillow (>=10.0.1,<=15.0)"]
+
 [[package]]
 name = "typer"
 version = "0.9.4"
@@ -8509,13 +8344,13 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.18.2"
+version = "3.19.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.18.2-py3-none-any.whl", hash = "sha256:dce197b859eb796242b0622af1b8beb0a722d52aa2f57133ead08edd5bf5374e"},
-    {file = "zipp-3.18.2.tar.gz", hash = "sha256:6278d9ddbcfb1f1089a88fde84481528b07b0e10474e09dcfe53dad4069fa059"},
+    {file = "zipp-3.19.0-py3-none-any.whl", hash = "sha256:96dc6ad62f1441bcaccef23b274ec471518daf4fbbc580341204936a5a3dddec"},
+    {file = "zipp-3.19.0.tar.gz", hash = "sha256:952df858fb3164426c976d9338d3961e8e8b3758e2e059e0f754b8c4262625ee"},
 ]
 
 [package.extras]
@@ -8536,4 +8371,4 @@ weaviate = ["weaviate-client"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9.0,<3.12"
-content-hash = "325ea9dcaff8a1c09711aae43ed06bc59b18b3da2fbbb1a9499cb708f7f79e74"
+content-hash = "2cf02612bbf222c1095c6cfd3ab476383248d1526deceaacdb6f05d3b5a7eac2"
diff --git a/pyproject.toml b/pyproject.toml
index 8c7a1f21e..b04c29ede 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "cognee"
-version = "0.1.8"
+version = "0.1.9"
 description = "Cognee - is a library for enriching LLM context with a semantic layer for better understanding and reasoning."
 authors = ["Vasilije Markovic", "Boris Arzentar"]
 readme = "README.md"
@@ -19,7 +19,7 @@ classifiers = [
 
 [tool.poetry.dependencies]
 python = ">=3.9.0,<3.12"
-openai = "1.14.3"
+openai = "1.27.0"
 pydantic = "^2.5.0"
 python-dotenv = "1.0.1"
 fastapi = "^0.109.2"
@@ -33,45 +33,46 @@ debugpy = "^1.8.0"
 pyarrow = "^15.0.0"
 pylint = "^3.0.3"
 aiosqlite = "^0.20.0"
-pandas = "^2.2.0"
+pandas = "2.0.3"
 greenlet = "^3.0.3"
 ruff = "^0.2.2"
 filetype = "^1.2.0"
 nltk = "^3.8.1"
-dlt = "0.4.10"
+dlt = "0.4.11"
 duckdb = {version = "^0.10.0", extras = ["dlt"]}
 overrides = "^7.7.0"
 aiofiles = "^23.2.1"
 qdrant-client = "^1.9.0"
-duckdb-engine = "^0.11.2"
+duckdb-engine = "0.12.1"
 graphistry = "^0.33.5"
 tenacity = "^8.2.3"
 weaviate-client = "^4.5.4"
 scikit-learn = "^1.4.1.post1"
-fastembed = "^0.2.5"
+fastembed = "0.2.7"
 pypdf = "^4.1.0"
-anthropic = "^0.21.3"
-neo4j = "^5.18.0"
+neo4j = "5.20.0"
 jinja2 = "^3.1.3"
 matplotlib = "^3.8.3"
 nest-asyncio = "^1.6.0"
 structlog = "^24.1.0"
-tiktoken = "^0.6.0"
-dspy-ai = "2.4.3"
+tiktoken = "0.7.0"
+dspy-ai = "2.4.9"
 posthog = "^3.5.0"
-lancedb = "^0.6.10"
-importlib-metadata = "6.8.0"
-litellm = "^1.37.3"
-groq = "^0.5.0"
-tantivy = "^0.21.0"
+lancedb = "0.8.0"
+importlib-metadata = "7.1.0"
+litellm = "1.38.10"
+groq = "0.8.0"
+tantivy = "^0.22.0"
+huggingface-hub ="0.20.0"
+tokenizers ="0.15.2"
+transformers ="4.39.0"
 python-multipart = "^0.0.9"
 langfuse = "^2.32.0"
 spacy = "^3.7.4"
 protobuf = "<5.0.0"
-langchain-community = "0.0.38"
-deepeval = "^0.21.42"
-falkordb = "^1.0.4"
 pydantic-settings = "^2.2.1"
+anthropic = "^0.26.1"
+langchain-community = "0.0.38"
 
 
 [tool.poetry.extras]
@@ -102,10 +103,11 @@ mkdocs-jupyter = "^0.24.6"
 mkdocs-minify-plugin = "^0.8.0"
 mkdocs-redirects = "^1.2.1"
 
+
 [tool.poetry.group.test-docs.dependencies]
 fastapi = "^0.109.2"
 diskcache = "^5.6.3"
-pandas = "^2.2.0"
+pandas = "2.0.3"
 tabulate = "^0.9.0"
 
 
@@ -117,3 +119,5 @@ ignore-init-module-imports = true
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
+
+