snexus / llm-search
Querying local documents, powered by LLM
Why this job: topics: rag, retrieval-augmented-generation
What it does
- Fast parsing and embedding of medium size document bases (tested on up to few gigabytes of markdown and pdfs)
- Incremental updates for new documents, without a need to re-index the entire document base.
- FastAPI based API + MCP server, allowing communicating with RAG via any mcp client, including VSCode/Windsurf/Cursor and others.
- Deep linking into document sections. jump to an individual PDF page or a header in a markdown file.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 663
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.9.5
- Released 9 months ago
- Built with
- Jupyter Notebook
- 96% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 88% closed
- 6 still open
- Pull requests
- 85 merged
- 0 waiting
- Releases
- 35
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 96%
- Python 4%
- Shell <1%
Topics
- chatbot
- chroma
- hyde
- langchain-python
- large-language-models
- llm
- mcp
- openai-chatgpt
- rag
- reranking
- retrieval-augmented-generation
- splade
Project record
- JobRAG and search
- StatusListed
- Commits296
- Forks70
- Watching12
- Stars in 28 days+2
- CreatedApr 14, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026