tonykipkemboi/ollama_pdf_rag

A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.

61
/ 100
Established

This tool helps you quickly get answers and insights from your PDF documents by having a natural conversation with them. You upload one or more PDFs, and then you can ask questions in plain language, receiving answers with citations back. Anyone who needs to extract information from documents or conduct research without relying on external AI services would find this useful.

496 stars.

Use this if you need to privately and securely chat with your PDF documents locally on your own computer, ensuring no sensitive data leaves your machine.

Not ideal if you need to process thousands of documents simultaneously or require advanced enterprise-level document management features.

document-analysis private-research information-extraction local-AI knowledge-discovery
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

496

Forks

189

Language

TypeScript

License

MIT

Last pushed

Feb 11, 2026

Commits (30d)

0

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