Orchestration
The coordination and management of multiple AI components, tools, and services to accomplish complex workflows. Orchestration handles routing, sequencing, error handling, and resource allocation.
Why It Matters
Orchestration is the glue that holds sophisticated AI systems together. Without it, individual components are powerful but cannot work together effectively.
Example
An orchestration layer that receives a user query, decides whether to use RAG, web search, or code execution, manages the tool calls, and synthesizes the final response.
Think of it like...
Like a conductor leading an orchestra — each musician (component) is skilled individually, but the conductor coordinates timing, volume, and expression to create a cohesive performance.
Related Terms
AI Agent
An AI system that can autonomously plan, reason, and take actions to accomplish goals. Unlike simple chatbots, agents can use tools, make decisions, execute multi-step workflows, and adapt their approach based on results.
Multi-Agent System
An architecture where multiple AI agents collaborate, each with specialized roles or capabilities, to accomplish complex tasks that no single agent could handle alone.
LangChain
A popular open-source framework for building applications powered by language models. It provides tools for prompt management, chains, agents, memory, and integration with external tools and data sources.
Tool Use
The ability of an AI model to interact with external tools, APIs, and systems to accomplish tasks beyond text generation. Tools extend the model's capabilities to include search, calculation, code execution, and more.