Python llm-pipeline Projects
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As part of work on my open-source project ContextGem, I've built a native, zero-dependency DOCX converter that transforms Word documents into LLM-ready data.
This custom-built converter directly processes Word XML, provides comprehensive content extraction + covers what other open-source tools often miss or lack support for:
- Rich paragraph and sentence metadata for enhanced context
- Misaligned tables
- Comments, footnotes, and textboxes
- Embedded images
The converted document can then be easily used in ContextGem's LLM extraction workflows.
Perfect for developers building contract intelligence applications where precision matters. The converter preserves document structure and relationships, empowering LLMs to better understand and analyze document content.
Try it / share with your dev team today and see the difference in your document processing pipeline!
GitHub: https://github.com/shcherbak-ai/contextgem
All DocxConverter features: https://contextgem.dev/converters/docx.html
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
Python llm-pipeline discussion
Index
# | Project | Stars |
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1 | contextgem | 1,237 |