AI models and agents

Retrieval

Also known as: information retrieval

Selecting documents or passages needed to handle a query.

A practical example

A system finds the returns section of a policy.

What should I know?

The closest search result is not always the right evidence.

AI models and agents in practice

A model processes information; the application defines tools and permissions. Reliable answers require good sources and verification. Actions involving accounts, content, and orders must stay within the granted scope.

Related Semly features

See where this concept applies when working with Semly.

Semly MCPConnect Semly data and tools to your AI assistant. Analyze reports and work with Leon in a conversation.Websites for AI agentsShare structured company knowledge and inquiry forms through an agent channel.

Related terms

RAGCombining retrieval of relevant materials with generating an answer from them.Semantic searchSelecting results using meaning and context, not only identical words.RerankingReassessing retrieved results and ordering them by their fit to the query.

Documentation and further reading

Definition prepared by Semly. Standards and behavior are described by their creators:

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