LangChain
Createdlangchain-ai
Build applications powered by language models by chaining together components and third-party integrations.
About
LangChain is a framework designed to streamline the development of applications powered by large language models (LLMs). It offers a standardized interface for interacting with models, embeddings, and vector stores, allowing developers to easily connect LLMs to diverse data sources and external systems. By providing abstractions and integrations, LangChain simplifies the process of building context-aware reasoning applications, enabling real-time data augmentation and model interoperability while future-proofing decisions as the underlying AI technology advances.
Key Features
- Standard interface for models, embeddings, and vector stores
- Real-time data augmentation capabilities
- 107,823 GitHub stars
- Integrations with model providers, tools, and vector stores
- Agent orchestration framework via LangGraph
- Model interoperability for easy swapping of models
Use Cases
- Experimenting with different language models
- Building applications with real-time data augmentation
- Creating controllable agent workflows
