tonykipkemboi/ollama_pdf_rag
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
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.
Stars
496
Forks
189
Language
TypeScript
License
MIT
Category
Last pushed
Feb 11, 2026
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/rag/tonykipkemboi/ollama_pdf_rag"
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