What is Orchestration?
Orchestration — The automated configuration, management, and coordination of complex computer systems and AI services.
AI orchestration coordinates multiple models, data sources, and tools into cohesive workflows. A single AI task might involve an embedding model, a vector database, an LLM, and a code interpreter — orchestration manages the flow between these components.
Frequently Asked Questions
What tools handle AI orchestration?
LangChain, LlamaIndex, Apache Airflow, Prefect, and cloud-native tools like AWS Step Functions. For simpler workflows, custom Python scripts often suffice.
Why is orchestration important?
Real-world AI applications rarely use a single model call. They chain multiple steps — retrieval, processing, generation, validation — that must be coordinated reliably.
How is orchestration different from MLOps?
MLOps manages the lifecycle of models (training, deployment, monitoring). Orchestration manages runtime workflows — how different components interact during each request.