A RAG chatbot that answers user questions using Wikipedia articles as context
-
Updated
May 18, 2026 - Python
A RAG chatbot that answers user questions using Wikipedia articles as context
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
An exploration of advanced RAG retrieval strategies in LangChain, from Multi-Query to Contextual Compression and Reranking for smarter, more relevant results.
Add a description, image, and links to the multi-query-retriever topic page so that developers can more easily learn about it.
To associate your repository with the multi-query-retriever topic, visit your repo's landing page and select "manage topics."