LLM workflows

LLM workflows orchestrate multi-step, production-grade applications by chaining LLM calls with external tools, data retrieval, and structured logic.

LLM workflows move beyond single-prompt interactions: they are engineered sequences designed for reliable, complex task execution. They manage the flow of data, control, and multiple components (LLMs, vector databases, APIs) to achieve a specific outcome. Key design patterns include Retrieval-Augmented Generation (RAG) for grounded answers, Prompt Chaining for sequential reasoning, and Orchestrator-Worker models for dynamic task delegation. This structured approach ensures consistency, reduces hallucination, and enables integration with enterprise systems, moving LLMs from a simple chat interface to a core, scalable application component.

https://docs.langchain.com/docs/workflows-and-agents