A managed knowledge layer for Foundry agents, made up of knowledge bases and knowledge sources and built on agentic retrieval in Azure AI Search. It provides grounding that respects permissions and includes citations.
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Terms in this definition
- Agentic retrieval
Query approach in Azure AI Search where an LLM turns a conversation into several planned subqueries; these execute together, are reranked semantically, and the best chunks are merged. Classic RAG, by contrast, issues just one query.
- Azure AI Search
Managed Azure service that builds indexes over your content and answers keyword, vector, hybrid and semantically ranked queries, optionally with AI enrichment. Retrieval-augmented generation, Foundry agents and knowledge mining all use it to fetch relevant content.
- Grounding
Putting relevant and up-to-date facts into the prompt so that the model bases its answer on them, which cuts fabrication and makes citations possible. It is central to RAG.
- AGDLP
Nesting pattern: users go into global groups, which go into domain local groups, which receive the permissions. AGUDLP adds universal groups for forests with several domains.
Related terms
- Azure OpenAI On Your Data
Feature of Azure OpenAI, now deprecated, for grounding chat answers in your own content retrieved from a search index. Its replacement for new work is Foundry Agent Service paired with Azure AI Search or Foundry IQ.