AI development framework
LangChain is a framework designed for developing applications powered by large language models (LLMs). It simplifies the entire lifecycle of LLM application development, from building and productionizing to deployment. LangChain provides a standard interface for LLMs and integrates with various technologies like embedding models and vector stores. It also offers tools like LangGraph for building stateful agents and LangSmith for monitoring and evaluating applications.
langchain-core
, langchain
, langchain-community
, and langgraph
for building and orchestrating applications.The website does not explicitly mention pricing details for LangChain. However, it is an open-source framework, so the core libraries are free to use. Costs may arise from using third-party integrations or cloud services like LangSmith and LangGraph Platform.
What is LangChain used for?
LangChain is used to build, optimize, and deploy applications powered by large language models (LLMs).
What are the key components of LangChain?
Key components include langchain-core
, integration packages (e.g., langchain-openai
), langchain
, langchain-community
, and langgraph
.
How does LangChain integrate with other tools?
LangChain integrates with hundreds of providers, including OpenAI, Anthropic, Azure, Google, and more, through lightweight packages.
Is LangChain free to use?
The core LangChain framework is open-source and free, but costs may apply for third-party integrations or cloud services.
What is LangGraph?
LangGraph is an orchestration framework for building stateful, multi-actor applications with LLMs, integrated with LangChain.
How can I monitor my LangChain applications?
Use LangSmith to trace, evaluate, and monitor your applications for optimization and deployment.
Where can I find tutorials for LangChain?
Tutorials are available on the LangChain website, covering topics like building chatbots, agents, and LLM applications.