Guide — Updated August 2026
How to build reliable RAG retrieval on Azure AI Search — from chunking and embeddings to hybrid and semantic search.
RAG quality is retrieval quality. This guide explains how to build the Azure AI Search retrieval layer that grounded generation depends on.
This guide covers RAG on Azure AI Search: chunking strategy, embeddings and integrated vectorization, vector and hybrid (keyword + vector) search with Reciprocal Rank Fusion, the semantic ranker for L2 reranking, metadata filtering and security-trimming, citations, and retrieval evaluation. It also introduces agentic retrieval as the next step.
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