langchain-ai/langchain

Project overview

LangChain is a Python framework that simplifies building LLM applications by connecting models, embeddings, and vector stores through interoperable components. Developers can chain these integrations together using flexible abstractions ranging from high-level chains to low-level components.

Project type

AI Agent · RAG

Use cases

Automation

Deployment

Library integration

License

MIT

Best for

• Developers who need to connect models, embeddings, and vector stores using a standard interface.
• Developers who need flexible abstraction layers to work from high-level chains to low-level components.

Key capabilities

• Chain together interoperable components and third-party integrations to simplify AI application development.
• Provides a standard interface for models, embeddings, vector stores, and more to power LLM applications.
• Allows developers to swap models in and out as they experiment to find the best choice.

Limitations and risks

• Coding is a required skill to use this framework effectively.
• GPU requirements for running this framework are not documented.
• Telemetry data collection details are not documented.

Getting started

• The framework is installed as a package using uv. Developers can run 'uv add langchain' and initialize a chat model using 'init_chat_model'.

Evidence and sources

• README: LangChain is a framework for building agents and LLM-powered applications. It helps you chain together interoperable components and third-party integrations to simplify AI applica…
• README: ```bash uv add langchain ``` ```python from langchain.chat_models import init_chat_model model = init_chat_model("openai:gpt-5.5") result = model.invoke("Hello, world!")
• README: Deploy reliable applications with built-in support for monitoring, evaluation, and debugging through integrations like LangSmith. Scale with confidence using battle-tested pattern…
• Release: langchain-core==1.4.9
• README: LangChain helps developers build applications powered by LLMs through a standard interface for models, embeddings, vector stores, and more.

Reviewed at: 2026-07-16T10:46:47Z