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LangChain

by Stephen M. Walker II, Co-Founder / CEO

LangChain

LangChain is an open-source framework designed to simplify the creation of applications using large language models (LLMs). It provides a standard interface for chains, integrations with other tools, and end-to-end chains for common applications. LangChain allows developers to build applications based on combined LLMs, such as GPT-4, with external sources of computation and data. The framework is written in Python and JavaScript and supports various language models, including those from OpenAI, Hugging Face, and others.

LangChain's core components include:

  • Components: Modular building blocks that are easy to use for building powerful applications, such as LLM wrappers, prompt templates, and indexes for relevant information retrieval.
  • Chains: Allow developers to combine multiple components to solve specific tasks, making the implementation of complex applications more modular and easier to debug and maintain.
  • Agents: Enable LLMs to interact with their environment, such as using external APIs to perform specific actions.

LangChain can be used to build a wide range of LLM-powered applications, such as chatbots, question-answering systems, text summarization, code analysis, and more.

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