Chains vs. Agents

How Chains & Agents help create AI flows and how they contrast.

In AI Engineering, LangChain provides a framework for managing the flow of execution steps, particularly within the context of building applications that use Large Language Models (LLMs). LangChain allows developers to set up structured workflows (chains) and dynamic, decision-making processes (agents) that operate within defined guardrails. These guardrails ensure that the AI agents follow specific guidelines or constraints while executing tasks, helping to control and optimize how LLMs are used in various applications.

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