RAG and Generative AI - Azure AI Search

▤ Summary

Azure AI Search now offers agentic retrieval alongside the classic RAG pattern to help teams build better grounded AI applications. The new approach uses LLM-assisted query planning, multi-source retrieval, and structured responses with citations. The article explains how the service addresses common RAG problems such as query understanding, multi-source data access, token limits, latency, and security. It also recommends agentic retrieval for new implementations and suggests migration from existing RAG solutions where accuracy and context handling matter.

▦ Linked Companies

Microsoft

$1B+