tonykipkemboi/ollama_pdf_rag
A local RAG application that lets users chat with their PDF documents using Ollama and LangChain.

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The application provides a full-stack solution with a Next.js web interface, a Streamlit alternative UI, and a FastAPI backend for programmatic access. It leverages ChromaDB as a vector store, implements multi-query retrieval with source citations, and processes all data locally without sending information externally. The project includes Jupyter notebooks for experimentation and learning.