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Glossary

Agent

An LLM that can take actions in the world by invoking tools, not just produce text.

  1. Glossary
  2. Agent

Definition

An LLM that can take actions in the world by invoking tools, not just produce text.

In practice

In practice, an agent is a loop: read input → decide what to do → call a tool (or respond) → observe the result → decide again. The same model becomes 'an agent' the moment you give it the ability to call functions like 'book_appointment' or 'query_crm'. SMB-relevant agents almost always have a narrow scope and a small toolbox — open-ended 'do anything' agents fail in production.

See it in action

  • AI Voice Receptionist
  • RAG Customer Support Agent

Related terms

  • Agent loopThe repeating cycle of decide → act → observe → decide that lets an agent complete multi-step tasks.
  • RAG (Retrieval-Augmented Generation)Look up relevant documents from your data first, then ask the LLM to answer using only those documents.
  • Vector databaseA database optimized for finding the most semantically similar pieces of text to a given query.
  • EmbeddingsNumeric representations of text that capture meaning — close in number-space means close in meaning.
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