AI models and agents

Grounding

Also known as: source-grounded answers

Connecting generated output to supplied or retrieved information.

A practical example

A delivery answer uses the store's current terms.

What should I know?

A source connection does not guarantee error-free interpretation.

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.AI sourceA document or page supplying information used when preparing an answer.Fact-checkingChecking claims, data, and quotations against reliable sources.

Documentation and further reading

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

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