diff --git a/cognee/infrastructure/loaders/LoaderEngine.py b/cognee/infrastructure/loaders/LoaderEngine.py
index 09a74f065..d4be2aab5 100644
--- a/cognee/infrastructure/loaders/LoaderEngine.py
+++ b/cognee/infrastructure/loaders/LoaderEngine.py
@@ -27,6 +27,7 @@ class LoaderEngine:
self.default_loader_priority = [
"text_loader",
+ "advanced_pdf_loader",
"pypdf_loader",
"image_loader",
"audio_loader",
@@ -86,7 +87,7 @@ class LoaderEngine:
if loader.can_handle(extension=file_info.extension, mime_type=file_info.mime):
return loader
else:
- raise ValueError(f"Loader does not exist: {loader_name}")
+ logger.info(f"Skipping {loader_name}: Preferred Loader not registered")
# Try default priority order
for loader_name in self.default_loader_priority:
@@ -95,7 +96,9 @@ class LoaderEngine:
if loader.can_handle(extension=file_info.extension, mime_type=file_info.mime):
return loader
else:
- raise ValueError(f"Loader does not exist: {loader_name}")
+ logger.info(
+ f"Skipping {loader_name}: Loader not registered (in default priority list)."
+ )
return None
diff --git a/cognee/infrastructure/loaders/external/__init__.py b/cognee/infrastructure/loaders/external/__init__.py
index 3178d7e50..6bf9f9200 100644
--- a/cognee/infrastructure/loaders/external/__init__.py
+++ b/cognee/infrastructure/loaders/external/__init__.py
@@ -20,3 +20,10 @@ try:
__all__.append("UnstructuredLoader")
except ImportError:
pass
+
+try:
+ from .advanced_pdf_loader import AdvancedPdfLoader
+
+ __all__.append("AdvancedPdfLoader")
+except ImportError:
+ pass
diff --git a/cognee/infrastructure/loaders/external/advanced_pdf_loader.py b/cognee/infrastructure/loaders/external/advanced_pdf_loader.py
new file mode 100644
index 000000000..7bab8cac6
--- /dev/null
+++ b/cognee/infrastructure/loaders/external/advanced_pdf_loader.py
@@ -0,0 +1,244 @@
+"""Advanced PDF loader leveraging unstructured for layout-aware extraction."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any, Dict, List, Optional
+import asyncio
+from cognee.infrastructure.files.storage import get_file_storage, get_storage_config
+from cognee.infrastructure.files.utils.get_file_metadata import get_file_metadata
+from cognee.infrastructure.loaders.LoaderInterface import LoaderInterface
+from cognee.shared.logging_utils import get_logger
+
+from cognee.infrastructure.loaders.external.pypdf_loader import PyPdfLoader
+
+logger = get_logger(__name__)
+
+try:
+ from unstructured.partition.pdf import partition_pdf
+except ImportError as e:
+ logger.info(
+ "unstructured[pdf] not installed, can't use AdvancedPdfLoader, will use PyPdfLoader instead."
+ )
+ raise ImportError from e
+
+
+@dataclass
+class _PageBuffer:
+ page_num: Optional[int]
+ segments: List[str]
+
+
+class AdvancedPdfLoader(LoaderInterface):
+ """
+ PDF loader using unstructured library.
+
+ Extracts text content, images, tables from PDF files page by page, providing
+ structured page information and handling PDF-specific errors.
+ """
+
+ @property
+ def supported_extensions(self) -> List[str]:
+ return ["pdf"]
+
+ @property
+ def supported_mime_types(self) -> List[str]:
+ return ["application/pdf"]
+
+ @property
+ def loader_name(self) -> str:
+ return "advanced_pdf_loader"
+
+ def can_handle(self, extension: str, mime_type: str) -> bool:
+ """Check if file can be handled by this loader."""
+ # Check file extension
+ if extension in self.supported_extensions and mime_type in self.supported_mime_types:
+ return True
+
+ return False
+
+ async def load(self, file_path: str, strategy: str = "auto", **kwargs: Any) -> str:
+ """Load PDF file using unstructured library. If Exception occurs, fallback to PyPDFLoader.
+
+ Args:
+ file_path: Path to the document file
+ strategy: Partitioning strategy ("auto", "fast", "hi_res", "ocr_only")
+ **kwargs: Additional arguments passed to unstructured partition
+
+ Returns:
+ LoaderResult with extracted text content and metadata
+
+ """
+ try:
+ logger.info(f"Processing PDF: {file_path}")
+
+ with open(file_path, "rb") as f:
+ file_metadata = await get_file_metadata(f)
+
+ # Name ingested file of current loader based on original file content hash
+ storage_file_name = "text_" + file_metadata["content_hash"] + ".txt"
+
+ # Set partitioning parameters
+ partition_kwargs: Dict[str, Any] = {
+ "filename": file_path,
+ "strategy": strategy,
+ "infer_table_structure": True,
+ "include_page_breaks": False,
+ "include_metadata": True,
+ **kwargs,
+ }
+ # Use partition to extract elements
+ elements = partition_pdf(**partition_kwargs)
+
+ # Process elements into text content
+ page_contents = self._format_elements_by_page(elements)
+
+ # Check if there is any content
+ if not page_contents:
+ logger.warning(
+ "AdvancedPdfLoader returned no content. Falling back to PyPDF loader."
+ )
+ return await self._fallback(file_path, **kwargs)
+
+ # Combine all page outputs
+ full_content = "\n".join(page_contents)
+
+ # Store the content
+ storage_config = get_storage_config()
+ data_root_directory = storage_config["data_root_directory"]
+ storage = get_file_storage(data_root_directory)
+
+ full_file_path = await storage.store(storage_file_name, full_content)
+
+ return full_file_path
+
+ except Exception as exc:
+ logger.warning("Failed to process PDF with AdvancedPdfLoader: %s", exc)
+ return await self._fallback(file_path, **kwargs)
+
+ async def _fallback(self, file_path: str, **kwargs: Any) -> str:
+ logger.info("Falling back to PyPDF loader for %s", file_path)
+ fallback_loader = PyPdfLoader()
+ return await fallback_loader.load(file_path, **kwargs)
+
+ def _format_elements_by_page(self, elements: List[Any]) -> List[str]:
+ """Format elements by page."""
+ page_buffers: List[_PageBuffer] = []
+ current_buffer = _PageBuffer(page_num=None, segments=[])
+
+ for element in elements:
+ element_dict = self._safe_to_dict(element)
+ metadata = element_dict.get("metadata", {})
+ page_num = metadata.get("page_number")
+
+ if current_buffer.page_num != page_num:
+ if current_buffer.segments:
+ page_buffers.append(current_buffer)
+ current_buffer = _PageBuffer(page_num=page_num, segments=[])
+
+ formatted = self._format_element(element_dict)
+
+ if formatted:
+ current_buffer.segments.append(formatted)
+
+ if current_buffer.segments:
+ page_buffers.append(current_buffer)
+
+ page_contents: List[str] = []
+ for buffer in page_buffers:
+ header = f"Page {buffer.page_num}:\n" if buffer.page_num is not None else "Page:"
+ content = header + "\n\n".join(buffer.segments) + "\n"
+ page_contents.append(str(content))
+ return page_contents
+
+ def _format_element(
+ self,
+ element: Dict[str, Any],
+ ) -> str:
+ """Format element."""
+ element_type = element.get("type")
+ text = self._clean_text(element.get("text", ""))
+ metadata = element.get("metadata", {})
+
+ if element_type.lower() == "table":
+ return self._format_table_element(element) or text
+
+ if element_type.lower() == "image":
+ description = text or self._format_image_element(metadata)
+ return description
+
+ # Ignore header and footer
+ if element_type.lower() in ["header", "footer"]:
+ pass
+
+ return text
+
+ def _format_table_element(self, element: Dict[str, Any]) -> str:
+ """Format table element."""
+ metadata = element.get("metadata", {})
+ text = self._clean_text(element.get("text", ""))
+ table_html = metadata.get("text_as_html")
+
+ if table_html:
+ return table_html.strip()
+
+ return text
+
+ def _format_image_element(self, metadata: Dict[str, Any]) -> str:
+ """Format image."""
+ placeholder = "[Image omitted]"
+ image_text = placeholder
+ coordinates = metadata.get("coordinates", {})
+ points = coordinates.get("points") if isinstance(coordinates, dict) else None
+ if points and isinstance(points, tuple) and len(points) == 4:
+ leftup = points[0]
+ rightdown = points[3]
+ if (
+ isinstance(leftup, tuple)
+ and isinstance(rightdown, tuple)
+ and len(leftup) == 2
+ and len(rightdown) == 2
+ ):
+ image_text = f"{placeholder} (bbox=({leftup[0]}, {leftup[1]}, {rightdown[0]}, {rightdown[1]}))"
+
+ layout_width = coordinates.get("layout_width")
+ layout_height = coordinates.get("layout_height")
+ system = coordinates.get("system")
+ if layout_width and layout_height and system:
+ image_text = (
+ image_text
+ + f", system={system}, layout_width={layout_width}, layout_height={layout_height}))"
+ )
+
+ return image_text
+
+ def _safe_to_dict(self, element: Any) -> Dict[str, Any]:
+ """Safe to dict."""
+ try:
+ if hasattr(element, "to_dict"):
+ return element.to_dict()
+ except Exception:
+ pass
+ fallback_type = getattr(element, "category", None)
+ if not fallback_type:
+ fallback_type = getattr(element, "__class__", type("", (), {})).__name__
+
+ return {
+ "type": fallback_type,
+ "text": getattr(element, "text", ""),
+ "metadata": getattr(element, "metadata", {}),
+ }
+
+ def _clean_text(self, value: Any) -> str:
+ if value is None:
+ return ""
+ return str(value).replace("\xa0", " ").strip()
+
+
+if __name__ == "__main__":
+ loader = AdvancedPdfLoader()
+ asyncio.run(
+ loader.load(
+ "/Users/xiaotao/work/cognee/cognee/infrastructure/loaders/external/attention_is_all_you_need.pdf"
+ )
+ )
diff --git a/cognee/infrastructure/loaders/supported_loaders.py b/cognee/infrastructure/loaders/supported_loaders.py
index 287ff21d4..d103babe3 100644
--- a/cognee/infrastructure/loaders/supported_loaders.py
+++ b/cognee/infrastructure/loaders/supported_loaders.py
@@ -16,3 +16,10 @@ try:
supported_loaders[UnstructuredLoader.loader_name] = UnstructuredLoader
except ImportError:
pass
+
+try:
+ from cognee.infrastructure.loaders.external import AdvancedPdfLoader
+
+ supported_loaders[AdvancedPdfLoader.loader_name] = AdvancedPdfLoader
+except ImportError:
+ pass
diff --git a/cognee/tests/test_advanced_pdf_loader.py b/cognee/tests/test_advanced_pdf_loader.py
new file mode 100644
index 000000000..8b799c12b
--- /dev/null
+++ b/cognee/tests/test_advanced_pdf_loader.py
@@ -0,0 +1,141 @@
+import sys
+from unittest.mock import patch, MagicMock, AsyncMock, mock_open
+import pytest
+
+from cognee.infrastructure.loaders.external.advanced_pdf_loader import AdvancedPdfLoader
+
+advanced_pdf_loader_module = sys.modules.get(
+ "cognee.infrastructure.loaders.external.advanced_pdf_loader"
+)
+
+
+class MockElement:
+ def __init__(self, category, text, metadata):
+ self.category = category
+ self.text = text
+ self.metadata = metadata
+
+ def to_dict(self):
+ return {
+ "type": self.category,
+ "text": self.text,
+ "metadata": self.metadata,
+ }
+
+
+@pytest.fixture
+def loader():
+ return AdvancedPdfLoader()
+
+
+@pytest.mark.parametrize(
+ "extension, mime_type, expected",
+ [
+ ("pdf", "application/pdf", True),
+ ("txt", "text/plain", False),
+ ("pdf", "text/plain", False),
+ ("doc", "application/pdf", False),
+ ],
+)
+def test_can_handle(loader, extension, mime_type, expected):
+ """Test can_handle method can correctly identify PDF files"""
+ assert loader.can_handle(extension, mime_type) == expected
+
+
+@pytest.mark.asyncio
+@patch("cognee.infrastructure.loaders.external.advanced_pdf_loader.open", new_callable=mock_open)
+@patch(
+ "cognee.infrastructure.loaders.external.advanced_pdf_loader.get_file_metadata",
+ new_callable=AsyncMock,
+)
+@patch("cognee.infrastructure.loaders.external.advanced_pdf_loader.get_storage_config")
+@patch("cognee.infrastructure.loaders.external.advanced_pdf_loader.get_file_storage")
+@patch("cognee.infrastructure.loaders.external.advanced_pdf_loader.PyPdfLoader")
+@patch("cognee.infrastructure.loaders.external.advanced_pdf_loader.partition_pdf")
+async def test_load_success_with_unstructured(
+ mock_partition_pdf,
+ mock_pypdf_loader,
+ mock_get_file_storage,
+ mock_get_storage_config,
+ mock_get_file_metadata,
+ mock_open,
+ loader,
+):
+ """Test the main flow of using unstructured to successfully process PDF"""
+ # Prepare Mock data and objects
+ mock_elements = [
+ MockElement(
+ category="Title", text="Attention Is All You Need", metadata={"page_number": 1}
+ ),
+ MockElement(
+ category="NarrativeText",
+ text="The dominant sequence transduction models are based on complex recurrent or convolutional neural networks.",
+ metadata={"page_number": 1},
+ ),
+ MockElement(
+ category="Table",
+ text="This is a table.",
+ metadata={"page_number": 2, "text_as_html": "
"},
+ ),
+ ]
+ mock_pypdf_loader.return_value.load = AsyncMock(return_value="/fake/path/fallback.txt")
+ mock_partition_pdf.return_value = mock_elements
+ mock_get_file_metadata.return_value = {"content_hash": "abc123def456"}
+
+ mock_storage_instance = MagicMock()
+ mock_storage_instance.store = AsyncMock(return_value="/stored/text_abc123def456.txt")
+ mock_get_file_storage.return_value = mock_storage_instance
+
+ mock_get_storage_config.return_value = {"data_root_directory": "/fake/data/root"}
+ test_file_path = "/fake/path/document.pdf"
+
+ # Run
+
+ result_path = await loader.load(test_file_path)
+
+ # Assert
+ assert result_path == "/stored/text_abc123def456.txt"
+
+ # Verify partition_pdf is called with the correct parameters
+ mock_partition_pdf.assert_called_once()
+ call_args, call_kwargs = mock_partition_pdf.call_args
+ assert call_kwargs.get("filename") == test_file_path
+ assert call_kwargs.get("strategy") == "auto" # Default strategy
+
+ # Verify the stored content is correct
+ expected_content = "Page 1:\nAttention Is All You Need\n\nThe dominant sequence transduction models are based on complex recurrent or convolutional neural networks.\n\nPage 2:\n\n"
+ mock_storage_instance.store.assert_awaited_once_with("text_abc123def456.txt", expected_content)
+
+ # Verify fallback is not called
+ mock_pypdf_loader.assert_not_called()
+
+
+@pytest.mark.asyncio
+@patch("cognee.infrastructure.loaders.external.advanced_pdf_loader.open", new_callable=mock_open)
+@patch(
+ "cognee.infrastructure.loaders.external.advanced_pdf_loader.get_file_metadata",
+ new_callable=AsyncMock,
+)
+@patch("cognee.infrastructure.loaders.external.advanced_pdf_loader.PyPdfLoader")
+@patch(
+ "cognee.infrastructure.loaders.external.advanced_pdf_loader.partition_pdf",
+ side_effect=Exception("Unstructured failed!"),
+)
+async def test_load_fallback_on_unstructured_exception(
+ mock_partition_pdf, mock_pypdf_loader, mock_get_file_metadata, mock_open, loader
+):
+ """Test fallback to PyPdfLoader when unstructured throws an exception"""
+ # Prepare Mock
+ mock_fallback_instance = MagicMock()
+ mock_fallback_instance.load = AsyncMock(return_value="/fake/path/fallback.txt")
+ mock_pypdf_loader.return_value = mock_fallback_instance
+ mock_get_file_metadata.return_value = {"content_hash": "anyhash"}
+ test_file_path = "/fake/path/document.pdf"
+
+ # Run
+ result_path = await loader.load(test_file_path)
+
+ # Assert
+ assert result_path == "/fake/path/fallback.txt"
+ mock_partition_pdf.assert_called_once() # Verify partition_pdf is called
+ mock_fallback_instance.load.assert_awaited_once_with(test_file_path)
diff --git a/poetry.lock b/poetry.lock
index c0394cc7a..f873ca5a0 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,38 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand.
+
+[[package]]
+name = "accelerate"
+version = "1.10.1"
+description = "Accelerate"
+optional = true
+python-versions = ">=3.9.0"
+groups = ["main"]
+markers = "extra == \"docs\""
+files = [
+ {file = "accelerate-1.10.1-py3-none-any.whl", hash = "sha256:3621cff60b9a27ce798857ece05e2b9f56fcc71631cfb31ccf71f0359c311f11"},
+ {file = "accelerate-1.10.1.tar.gz", hash = "sha256:3dea89e433420e4bfac0369cae7e36dcd6a56adfcfd38cdda145c6225eab5df8"},
+]
+
+[package.dependencies]
+huggingface_hub = ">=0.21.0"
+numpy = ">=1.17,<3.0.0"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.4.3"
+torch = ">=2.0.0"
+
+[package.extras]
+deepspeed = ["deepspeed"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.11.2,<0.12.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.11.2,<0.12.0)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-fp8 = ["torchao"]
+test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "matplotlib", "mlflow", "swanlab", "tensorboard", "trackio", "wandb"]
+testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
[[package]]
name = "aiobotocore"
@@ -248,15 +282,15 @@ files = [
[[package]]
name = "anthropic"
-version = "0.68.1"
+version = "0.69.0"
description = "The official Python library for the anthropic API"
optional = true
python-versions = ">=3.8"
groups = ["main"]
markers = "extra == \"anthropic\" or extra == \"deepeval\""
files = [
- {file = "anthropic-0.68.1-py3-none-any.whl", hash = "sha256:40fc545c4781ebc45d8e7849240c4001f40d61d18a17e5363c0acb10afefc33b"},
- {file = "anthropic-0.68.1.tar.gz", hash = "sha256:5fc01019dfffbc39e87a24f4d7cfe34e83dda4fff7b5371f33639f982f0c8dba"},
+ {file = "anthropic-0.69.0-py3-none-any.whl", hash = "sha256:1f73193040f33f11e27c2cd6ec25f24fe7c3f193dc1c5cde6b7a08b18a16bcc5"},
+ {file = "anthropic-0.69.0.tar.gz", hash = "sha256:c604d287f4d73640f40bd2c0f3265a2eb6ce034217ead0608f6b07a8bc5ae5f2"},
]
[package.dependencies]
@@ -274,6 +308,18 @@ aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
vertex = ["google-auth[requests] (>=2,<3)"]
+[[package]]
+name = "antlr4-python3-runtime"
+version = "4.9.3"
+description = "ANTLR 4.9.3 runtime for Python 3.7"
+optional = true
+python-versions = "*"
+groups = ["main"]
+markers = "extra == \"docs\""
+files = [
+ {file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"},
+]
+
[[package]]
name = "anyio"
version = "4.11.0"
@@ -717,15 +763,15 @@ typecheck = ["mypy"]
[[package]]
name = "beautifulsoup4"
-version = "4.13.5"
+version = "4.14.2"
description = "Screen-scraping library"
optional = true
python-versions = ">=3.7.0"
groups = ["main"]
markers = "extra == \"notebook\" or extra == \"dev\" or extra == \"docs\" or extra == \"evals\""
files = [
- {file = "beautifulsoup4-4.13.5-py3-none-any.whl", hash = "sha256:642085eaa22233aceadff9c69651bc51e8bf3f874fb6d7104ece2beb24b47c4a"},
- {file = "beautifulsoup4-4.13.5.tar.gz", hash = "sha256:5e70131382930e7c3de33450a2f54a63d5e4b19386eab43a5b34d594268f3695"},
+ {file = "beautifulsoup4-4.14.2-py3-none-any.whl", hash = "sha256:5ef6fa3a8cbece8488d66985560f97ed091e22bbc4e9c2338508a9d5de6d4515"},
+ {file = "beautifulsoup4-4.14.2.tar.gz", hash = "sha256:2a98ab9f944a11acee9cc848508ec28d9228abfd522ef0fad6a02a72e0ded69e"},
]
[package.dependencies]
@@ -827,15 +873,15 @@ virtualenv = ["virtualenv (>=20.11) ; python_version < \"3.10\"", "virtualenv (>
[[package]]
name = "cachetools"
-version = "5.5.2"
+version = "6.2.0"
description = "Extensible memoizing collections and decorators"
optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.9"
groups = ["main"]
-markers = "extra == \"gemini\" or extra == \"deepeval\" or extra == \"chromadb\""
+markers = "extra == \"gemini\" or extra == \"docs\" or extra == \"deepeval\" or extra == \"chromadb\""
files = [
- {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"},
- {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"},
+ {file = "cachetools-6.2.0-py3-none-any.whl", hash = "sha256:1c76a8960c0041fcc21097e357f882197c79da0dbff766e7317890a65d7d8ba6"},
+ {file = "cachetools-6.2.0.tar.gz", hash = "sha256:38b328c0889450f05f5e120f56ab68c8abaf424e1275522b138ffc93253f7e32"},
]
[[package]]
@@ -1157,7 +1203,7 @@ description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
groups = ["main"]
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optional = true
python-versions = ">=3.7"
groups = ["main"]
-markers = "extra == \"gemini\""
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[[package]]
name = "google-auth"
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description = "Google Authentication Library"
optional = true
python-versions = ">=3.7"
groups = ["main"]
-markers = "extra == \"gemini\" or extra == \"deepeval\" or extra == \"chromadb\""
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pyasn1-modules = ">=0.2.1"
rsa = ">=3.1.4,<5"
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httplib2 = ">=0.19.0"
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+
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name = "google-genai"
version = "1.39.1"
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optional = true
python-versions = ">=3.7"
groups = ["main"]
-markers = "extra == \"gemini\" or extra == \"deepeval\" or extra == \"chromadb\""
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[[package]]
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+version = "0.32.0"
description = "The official Python library for the groq API"
optional = true
python-versions = ">=3.8"
groups = ["main"]
markers = "extra == \"groq\""
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optional = true
python-versions = ">=3.9"
groups = ["main"]
-markers = "extra == \"gemini\" or extra == \"deepeval\" or extra == \"chromadb\""
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optional = true
python-versions = ">=3.9"
groups = ["main"]
-markers = "extra == \"gemini\""
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[[package]]
name = "huggingface-hub"
-version = "0.35.1"
+version = "0.35.3"
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"]
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[[package]]
name = "ipython"
-version = "9.5.0"
+version = "9.6.0"
description = "IPython: Productive Interactive Computing"
optional = true
python-versions = ">=3.11"
groups = ["main"]
markers = "python_version >= \"3.11\" and (extra == \"notebook\" or extra == \"dev\")"
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test = ["packaging", "pytest", "pytest-asyncio", "testpath"]
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@@ -3983,6 +4071,8 @@ groups = ["main"]
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optional = true
python-versions = ">=3.10"
groups = ["main"]
-markers = "extra == \"evals\""
+markers = "extra == \"docs\" or extra == \"evals\""
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+version = "34.1.0"
description = "Kubernetes python client"
optional = true
python-versions = ">=3.6"
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markers = "extra == \"chromadb\""
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pyyaml = ">=5.4.1"
requests = "*"
requests-oauthlib = "*"
six = ">=1.9.0"
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@@ -4737,26 +4826,25 @@ valkey = ["valkey (>=6)"]
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htmlsoup = ["BeautifulSoup4"]
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-content-hash = "49d2d5207803b6b56e0bbf2be871941f4fc4535d0bc823815e0a7cbe61e12574"
+content-hash = "8c5ebda99705d8bcaf9d14e244a556d2627106d58d0fdce25318b4c1a647197a"
diff --git a/pyproject.toml b/pyproject.toml
index a6da3b107..e2c523a2d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -95,7 +95,7 @@ chromadb = [
"chromadb>=0.6,<0.7",
"pypika==0.48.9",
]
-docs = ["unstructured[csv, doc, docx, epub, md, odt, org, ppt, pptx, rst, rtf, tsv, xlsx]>=0.18.1,<19"]
+docs = ["unstructured[csv, doc, docx, epub, md, odt, org, ppt, pptx, rst, rtf, tsv, xlsx, pdf]>=0.18.1,<19"]
codegraph = [
"fastembed<=0.6.0 ; python_version < '3.13'",
"transformers>=4.46.3,<5",
diff --git a/uv.lock b/uv.lock
index 94626c31e..4e46e1d56 100644
--- a/uv.lock
+++ b/uv.lock
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+ "python_full_version >= '3.13' and platform_machine == 'aarch64' and platform_python_implementation != 'PyPy' and sys_platform == 'linux'",
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+ "python_full_version == '3.12.*' and platform_machine == 'aarch64' and platform_python_implementation != 'PyPy' and sys_platform == 'linux'",
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+ "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_python_implementation != 'PyPy' and sys_platform == 'linux'",
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+ "python_full_version < '3.11' and platform_python_implementation == 'PyPy' and sys_platform == 'darwin'",
+ "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_python_implementation == 'PyPy' and sys_platform == 'linux'",
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"python_full_version < '3.11' and sys_platform == 'emscripten'",
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+dependencies = [
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+ { name = "packaging" },
+ { name = "psutil" },
+ { name = "pyyaml" },
+ { name = "safetensors" },
+ { name = "torch" },
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+
[[package]]
name = "aiobotocore"
version = "2.24.2"
@@ -203,7 +238,7 @@ wheels = [
[[package]]
name = "anthropic"
-version = "0.68.1"
+version = "0.69.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "anyio" },
@@ -215,11 +250,17 @@ dependencies = [
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{ name = "typing-extensions" },
]
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+[[package]]
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+version = "4.9.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/3e/38/7859ff46355f76f8d19459005ca000b6e7012f2f1ca597746cbcd1fbfe5e/antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b", size = 117034, upload-time = "2021-11-06T17:52:23.524Z" }
+
[[package]]
name = "anyio"
version = "4.11.0"
@@ -523,15 +564,15 @@ wheels = [
[[package]]
name = "beautifulsoup4"
-version = "4.13.5"
+version = "4.14.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "soupsieve" },
{ name = "typing-extensions" },
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+ { url = "https://files.pythonhosted.org/packages/94/fe/3aed5d0be4d404d12d36ab97e2f1791424d9ca39c2f754a6285d59a3b01d/beautifulsoup4-4.14.2-py3-none-any.whl", hash = "sha256:5ef6fa3a8cbece8488d66985560f97ed091e22bbc4e9c2338508a9d5de6d4515", size = 106392, upload-time = "2025-09-29T10:05:43.771Z" },
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[[package]]
@@ -572,7 +613,8 @@ source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jmespath" },
{ name = "python-dateutil" },
- { name = "urllib3" },
+ { name = "urllib3", version = "2.3.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.13' and platform_python_implementation != 'PyPy') or platform_python_implementation == 'PyPy' or sys_platform != 'darwin'" },
+ { name = "urllib3", version = "2.5.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and platform_python_implementation != 'PyPy' and sys_platform == 'darwin'" },
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wheels = [
@@ -584,7 +626,7 @@ name = "build"
version = "1.3.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
- { name = "colorama", marker = "os_name == 'nt'" },
+ { name = "colorama", marker = "(os_name == 'nt' and platform_machine != 'aarch64' and sys_platform == 'linux') or (os_name == 'nt' and sys_platform != 'darwin' and sys_platform != 'linux')" },
{ name = "importlib-metadata", marker = "python_full_version < '3.10.2'" },
{ name = "packaging" },
{ name = "pyproject-hooks" },
@@ -597,11 +639,11 @@ wheels = [
[[package]]
name = "cachetools"
-version = "5.5.2"
+version = "6.2.0"
source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/6c/81/3747dad6b14fa2cf53fcf10548cf5aea6913e96fab41a3c198676f8948a5/cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4", size = 28380, upload-time = "2025-02-20T21:01:19.524Z" }
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[[package]]
@@ -773,7 +815,8 @@ dependencies = [
{ name = "grpcio" },
{ name = "httpx" },
{ name = "importlib-resources" },
- { name = "kubernetes" },
+ { name = "kubernetes", version = "33.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and platform_python_implementation != 'PyPy' and sys_platform == 'darwin'" },
+ { name = "kubernetes", version = "34.1.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.13' and platform_python_implementation != 'PyPy') or platform_python_implementation == 'PyPy' or sys_platform != 'darwin'" },
{ name = "mmh3" },
{ name = "numpy", version = "1.26.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
{ name = "numpy", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
@@ -907,7 +950,7 @@ dlt = [
{ name = "dlt", extra = ["sqlalchemy"] },
]
docs = [
- { name = "unstructured", extra = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"] },
+ { name = "unstructured", extra = ["csv", "doc", "docx", "epub", "md", "odt", "org", "pdf", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"] },
]
evals = [
{ name = "gdown" },
@@ -1061,7 +1104,7 @@ requires-dist = [
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{ name = "tweepy", marker = "extra == 'dev'", specifier = ">=4.14.0,<5.0.0" },
{ name = "typing-extensions", specifier = ">=4.12.2,<5.0.0" },
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+ { name = "unstructured", extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx", "pdf"], marker = "extra == 'docs'", specifier = ">=0.18.1,<19" },
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{ name = "websockets", specifier = ">=15.0.1,<16.0.0" },
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{ name = "packaging" },
{ name = "prometheus-client" },
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