contextgem
llmflows
| contextgem | llmflows | |
|---|---|---|
| 3 | 1 | |
| 1,237 | 699 | |
| 17.1% | 0.4% | |
| 8.6 | 0.0 | |
| 4 days ago | 5 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
contextgem
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Transform DOCX into LLM-ready data
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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I Built an Open-Source Framework to Make LLM Data Extraction Dead Simple
After getting tired of writing endless boilerplate to extract structured data from documents with LLMs, I built ContextGem - a free, open-source framework that makes this radically easier.
- ContextGem: Easier and faster way to build LLM extraction workflows
llmflows
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