Implement a basic RAG pipeline using an embedding model and a vector database

MediumRAG and Vector DatabasesPractical exercise20 min Save for later

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Write a minimal end-to-end RAG pipeline: chunk documents, embed and store them in a vector database, retrieve top-k for a question, and generate a grounded answer with sources.

Implement a basic RAG pipeline using an embedding model and a vector database

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