Azure AI Search — Retrieval for Search and RAG
How Azure AI Search really works: indexes, analyzers and vector fields, indexers and skillsets, BM25, HNSW, hybrid search with RRF and the semantic ranker, replicas vs partitions and the SLA, Dedicated vs the new Serverless model, agentic retrieval with knowledge bases and Foundry IQ, and the throttling and sizing questions interviewers ask.
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