LangChain
Agentes IAAn open-source framework for building AI agents powered by LLMs. Features extensive integrations and multi-agent support via LangGraph.
Índice de contenidos
¿Qué es LangChain?
LangChain is an open-source framework for building applications and AI agents powered by large language models (LLMs). With over 118,000 GitHub stars, it is the world's largest LLM framework, supporting integration with major LLM providers including OpenAI, Anthropic, and Google AI. It comprehensively provides the functionality needed for AI agent construction: prompt chaining, memory management, tool calling, and RAG (Retrieval-Augmented Generation). The LangGraph companion project enables building stateful multi-agent applications. LangSmith (paid) streamlines agent monitoring, evaluation, and debugging.
Planes de precios
Características principales
Ventajas y desventajas
Ventajas
- ●Open source and free to use (MIT-equivalent license)
- ●Supports 100+ LLM and tool integrations
- ●Multi-agent development possible via LangGraph
- ●Active community with 118,000+ GitHub stars
- ●Available in both Python and JavaScript
Desventajas
- ●Programming knowledge required (developer-oriented)
- ●Frequent API changes result in a steep learning curve
- ●Advanced LangSmith features require a paid plan
Preguntas frecuentes
P. Is LangChain free to use?
R. Yes, LangChain itself is open source and free. However, API costs for the LLMs you use (such as OpenAI) are charged separately. LangSmith has a free developer plan, but advanced features require Plus ($39/month) or higher.
P. Can beginners use it?
R. LangChain is a developer-oriented framework requiring basic Python or JavaScript knowledge. For no-code AI agent building, Flowise or Dify may be more suitable.
P. What is LangGraph?
R. LangGraph is a LangChain companion project—a framework for building stateful multi-agent applications using graph structures. It enables complex branching, looping, and error handling.
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