RAG in depth: chunking, hybrid search, fusion, reranking and permissions
Everything between 'we have documents' and 'the model answers from them reliably': chunking strategies with a runnable chunker, hybrid keyword plus vector retrieval with reciprocal rank fusion (runnable), reranking, query rewriting, context assembly, citations, permissions, and a diagnosis table for bad answers.
20 min·Verified 2026-11Pro+50 XP
A prototype RAG system takes an afternoon. A reliable one takes careful engineering of each stage. This lesson walks the pipeline and the failure modes (basics).
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