LangChain is the most popular open-source LLM framework with 90,000+ stars for building AI agents, RAG systems, and chatbots.
What is LangChain?
LangChain is the most widely adopted framework for building LLM-powered applications. It provides abstractions for chaining LLM calls, RAG, building agents, and managing memory. With 90,000+ GitHub stars, LangChain powers everything from simple chatbots to complex autonomous agents and is considered the standard for LLM application development.
✅ Pros
- Largest ecosystem — 90k+ GitHub stars
- Supports all major LLMs
- RAG and memory built-in
- Extensive integrations
- Huge community
⚠️ Cons
- Can be overly complex for simple tasks
- Rapidly changing API
- Sometimes over-engineered
Best Use Cases for LangChain
- RAG application development
- AI chatbot building
- Agent orchestration
- LLM pipeline development
- Enterprise AI
Frequently Asked Questions
What is LangChain?
LangChain is the most widely adopted framework for building LLM-powered applications. It provides abstractions for chaining LLM calls, RAG, building agents, and managing memory. With 90,000+ GitHub stars, LangChain powers everything from simple chatbots to complex autonomous agents and is considered the standard for LLM application development.
Is LangChain free to use?
LangChain offers Free pricing. It is completely free.
What is LangChain best for?
LangChain is best for: RAG application development, AI chatbot building, Agent orchestration, LLM pipeline development, Enterprise AI.
What are the pros of LangChain?
Largest ecosystem — 90k+ GitHub stars. Supports all major LLMs. RAG and memory built-in. Extensive integrations. Huge community.
What are the alternatives to LangChain?
Browse our full list of AI tools to find alternatives in the AI Development Framework category.
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