Agents & Automation

Orchestration

Coordinating multiple AI models or agents to work together on a task.

Definition

Orchestration refers to the coordination layer that manages how multiple AI components — models, agents, tools, and retrieval systems — work together in a pipeline. An orchestrator decides which agent handles which part of a task, passes outputs between components, manages error handling, and ensures the overall workflow completes correctly. Orchestration frameworks like LangChain and LlamaIndex are widely used for building complex AI pipelines.

Related Terms

Multi-Agent System

Multiple AI agents working in parallel or sequence, each handling part of a task.

AI Agent

An AI system that can take actions, use tools, and complete multi-step tasks autonomously.

Automation Pipeline

A sequence of automated steps that processes information and takes action.

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Disclaimer

This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.

Document reference: ISO_webpage_knowledge-base_glossary_v1

Last modified: 29 March 2026

Knowledge Base·Agents & Automation·Orchestration