tonykipkemboi / ollama_pdf_rag
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
Why this job: says: rag, retrieval augmented; topics: rag
What it does
- 100% Local. All processing happens on your machine, no data leaves
- Multi-PDF Support. Upload and query across multiple documents
- Multi-Query RAG. Intelligent retrieval with source citations
- Advanced RAG. LangChain-powered pipeline with ChromaDB
- Two Modern UIs. Next.js (primary) and Streamlit interfaces
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 551
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v3.0.0
- Released 10 months ago
- Built with
- TypeScript
- 78% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 43% closed
- 24 still open
- Pull requests
- 1 merged
- 13 waiting
- Releases
- 4
- 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
- TypeScript 78%
- Jupyter Notebook 11%
- Python 8%
- JavaScript 2%
Topics
- langchain
- ollama
- rag
- nextjs
- vercel-ai-sdk
Project record
- JobRAG and search
- StatusListed
- Commits47
- Forks200
- Watching10
- Stars in 28 days+7
- CreatedApr 8, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026