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An exploration of advanced RAG retrieval strategies in LangChain, from Multi-Query to Contextual Compression and Reranking for smarter, more relevant results.
A case study implementing and comparing advanced RAG pipelines (RAG Fusion, HyDE, CRAG, and Graph RAG) on the CRAG dataset, with evaluation metrics and an interactive web demo. More Rag types (RRR, Multi-Query) are also added