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llmchainingagentspromptingopenai

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.

beginner30 minutes4 steps
The play
  1. Install LangChain
    Install the LangChain library using pip.
  2. Initialize an LLM
    Import and initialize a language model. This example uses OpenAI, but you can use other providers.
  3. Create a Simple Chain
    Define a prompt and chain it with the LLM to generate text.
  4. Use a Sequential Chain
    Chain multiple chains together to create a more complex workflow.
Starter code
Start by installing LangChain and initializing a language model.  Then, experiment with creating simple chains to understand how to connect prompts and LLMs.
Source
LangChain — Action Pack