LangChain
Empowering applications with large language models
LangChain is a framework for developing applications powered by large language models (LLMs). It simplifies every stage of the LLM application lifecycle, including development, productionization, and deployment. LangChain consists of open-source libraries such as langchain-core, langchain-community, and partner packages. It also includes LangGraph for building stateful agents and LangSmith for debugging and monitoring LLM applications.
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Features
- Build applications using open-source building blocks
- Develop stateful agents with streaming and human-in-the-loop support
- Inspect, monitor, and evaluate chains for optimization
- Deploy applications as REST APIs
- Debug, test, and monitor LLM applications
Advantages
- Simplifies development of LLM-powered applications
- Offers open-source libraries and third-party integrations
- Provides tools for productionization and deployment
- Enables building robust and stateful multi-actor applications
- Facilitates debugging, testing, and monitoring of LLM applications
Disadvantages
- May have a steep learning curve for beginners
- Requires familiarity with Python programming language
- Complexity in setting up and configuring the framework
Frequently Asked Questions
-
Q:What is LangChain?
A:LangChain is a framework for developing applications powered by large language models. -
Q:What are the main components of LangChain?
A:The main components include langchain-core, langchain-community, and partner packages. -
Q:Can LangChain be used for deploying REST APIs?
A:Yes, LangServe allows you to deploy LangChain chains as REST APIs.
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