Chains Component of LangChain

Chains are sequences of operations or steps that combine multiple components (e.g., models, retrievers, tools) to accomplish a specific task. They allow you to create structured workflows where the output of one step becomes the input to the next.

Types of Chains

  1. Simple Chains:
    • Linear sequences where each step is executed one after the other.
    • Example: A chain that retrieves documents and then generates a summary.
  2. Complex Chains:
    • Non-linear or conditional workflows that may involve branching, looping, or decision-making.
    • Example: A chain that retrieves documents, evaluates their relevance, and then generates an answer or asks for clarification.

Why Are Chains Important?

  • They provide a structured way to arrange complex workflows, making it easier to build sophisticated applications.
  • Chains enable modularity and reusability, allowing developers to mix and match components for different use cases.

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Memory Component of LangChain
Indexes Component of LangChain
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