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An end-to-end multi-source knowledge retrieval system using LangChain, FAISS, and OpenAI embeddings. This Retrieval-Augmented Generation (RAG) pipeline intelligently searches across Wikipedia, arXiv, and custom websites, optimizing source selection and delivering precise, real-time results based on query relevance.
A short, practical demo of a production-style modular RAG pipeline built on LangGraph, combining intent classification, multi-source retrieval (vector store + knowledge graph), RRF fusion, grounded generation, and LangSmith observability.