simple-rag-document-qa

Simple RAG Document QA is a lightweight Retrieval-Augmented Generation (RAG) project that answers user questions using information retrieved from a local document. The project demonstrates the complete RAG pipeline, including text preprocessing, lemmatization, document chunking, Hugging Face embeddings, FAISS vector search, and local Llama 3.1 gene

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Official source

Start locally with the CLI guide