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## Description
Attempt at making incremental loading run async
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---------
Co-authored-by: vasilije <vas.markovic@gmail.com>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
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## Description
fix: Adds graceful handling quick fix for damaged pdf files
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Co-authored-by: Igor Ilic <igorilic03@gmail.com>
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## Description
Makes s3 pathway imports optional so cognee can run without s3fs
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Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
Co-authored-by: Boris <boris@topoteretes.com>
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Co-authored-by: lxobr <122801072+lxobr@users.noreply.github.com>
Co-authored-by: Boris <boris@topoteretes.com>
Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
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## Description
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## Summary by CodeRabbit
- **Refactor**
- Simplified text processing by unifying multiple size-related
parameters into a single metric across chunking and extraction
functionalities.
- Streamlined logic for text segmentation by removing redundant
calculations and checks, resulting in a more consistent chunk management
process.
- **Chores**
- Removed the `modal` package as a dependency.
- **Documentation**
- Updated the README.md to include a new demo video link and clarified
default environment variable settings.
- Enhanced the CONTRIBUTING.md to improve clarity and engagement for
potential contributors.
- **Bug Fixes**
- Improved handling of sentence-ending punctuation in text processing to
include additional characters.
- **Version Update**
- Updated project version to 0.1.33 in the pyproject.toml file.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
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## Description
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## Summary by CodeRabbit
- **New Features**
- Introduced a modular content chunking interface that offers flexible
text segmentation with configurable chunk size and overlap.
- Added new chunkers for enhanced text processing, including
`LangchainChunker` and improved `TextChunker`.
- **Refactor**
- Unified the chunk extraction mechanism across various document types
for improved consistency and type safety.
- Updated method signatures to enhance clarity and type safety regarding
chunker usage.
- Enhanced error handling and logging during text segmentation to guide
adjustments when content exceeds limits.
- **Bug Fixes**
- Adjusted expected output in tests to reflect changes in chunking logic
and configurations.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
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## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Enhanced document chunk extraction for improved processing consistency
across multiple formats.
- **Refactor**
- Streamlined the configuration for text chunking by replacing indirect
mappings with a direct instantiation approach across document types.
- Updated method signatures across various document classes to accept
chunker class references instead of string identifiers.
- **Chores**
- Removed legacy configuration utilities related to document chunking to
simplify processing.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Boris <boris@topoteretes.com>
* Count the number of tokens in documents
* save token count to relational db
---------
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
Currently TikToken is used for tokenizing by default which is only supported by OpenAI,
this is an initial commit in an attempt to add Cognee tokenizing support for multiple LLMs
