LangChain
AdvancedFramework for building LLM-powered applications with composable chains and agents.
Company
LangChain Inc.
Founded
2022
Headquarters
San Francisco, CA
Pricing Range
Free (open-source) / LangSmith paid
Difficulty
advanced
Target Audience
Developers building production LLM applications who need a structured framework for chains and agents.
About
LangChain is a framework for building LLM-powered applications with composable chains and agents. It provides tools for prompt management, memory, retrieval-augmented generation (RAG), tool calling, and multi-agent systems. With LangSmith for debugging and LangGraph for stateful agents, it has become the standard framework for production LLM applications.
Advantages
- 1Standard LLM framework
- 2RAG support built-in
- 3Multi-agent orchestration
- 4LangSmith debugging
Pros & Cons
Pros
- +Industry standard framework
- +Excellent RAG support
- +Active development
- +Strong community
Cons
- −Fast-changing API
- −Can be complex
- −Overkill for simple apps
- −Documentation can lag
Use Cases
Building RAG applications
Creating AI chatbots
Multi-agent systems
Document Q&A systems
Workflow automation
Pricing
Open Source
$0
- All framework features
- Self-hosted
LangSmith
Pay-as-you-go
- Debugging
- Monitoring
- Evaluation
Extensions & Plugins
LangChain Python
Python framework package
LangChain JS
JavaScript/TypeScript framework
Skills
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