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RAG-powered Document Q&A app using Python, Streamlit, LangChain, FAISS, and HuggingFace embeddings. Supports multi-PDF ingestion, vector search, and high-speed Llama-3/Groq & OpenAI inference for accurate, context-aware answers. Modern Generative AI chatbot for knowledge retrieval.
Retrieval Augmented Generation(RAG) is a technique that enhances the capabilities of LLMs by combining information retrieval with text generation. Instead of relying on pre-trained knowledge, RAG fetch relevant data from external sources and use it to generate more accurate responses..