AI models and agents

Embedding

Also known as: embedding vector

A numerical representation of content used for similarity comparisons and other model tasks.

A practical example

Descriptions with similar meaning can be close in representation space.

What should I know?

Vector proximity does not prove truth or identical information.

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

Vector databaseA system storing and searching vector representations with associated data.Semantic searchSelecting results using meaning and context, not only identical words.RAGCombining retrieval of relevant materials with generating an answer from them.

Documentation and further reading

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

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