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Academy/Action Pack
🎯 Action PackbeginnerFree

LangChain

LangChain simplifies building LLM-powered applications by providing tools to chain components like models, prompts, and data sources together, enabling complex use cases like chatbots and agents.

llmchainingagentspromptingopenai

4 Steps

  1. 1

    Install LangChain: Install the LangChain library using pip.

  2. 2

    Initialize an LLM: Import and initialize a language model. This example uses OpenAI, but you can use other providers.

  3. 3

    Create a Simple Chain: Define a prompt and chain it with the LLM to generate text.

  4. 4

    Use a Sequential Chain: Chain multiple chains together to create a more complex workflow.

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