Building a Local RAG App With a UI, No Vector DB Required
SMRTR summary
Learn to build a complete RAG pipeline locally without external vector databases. This tutorial uses FAISS for in-memory vector search, Streamlit for the web interface, and LangChain for orchestration. Users can upload PDFs and immediately query them using local LLMs, creating a self-contained RAG application perfect for prototyping and development.
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