LangChain
frameworkLangChain is the most widely adopted framework for building applications powered by language models. It provides abstractions for chains (sequential LLM calls), agents (autonomous tool-using systems), RAG (retrieval-augmented generation), and memory.
LangGraph, LangChain's agent orchestration layer, enables building stateful, multi-step agent workflows as graphs. LangSmith provides observability and tracing for debugging agent behavior in production.
The framework supports 700+ integrations with tools, vector stores, LLM providers, and data sources. While it adds abstraction overhead, it significantly speeds up development for complex LLM applications.
Key Features
- •LangGraph for stateful agent workflows
- •LangSmith for tracing and observability
- •700+ integrations
- •Built-in RAG and memory patterns
- •Multi-language (Python, JavaScript/TypeScript)
Pros
- +Largest ecosystem and community
- +Comprehensive documentation
- +Rapid prototyping
- +Production-ready with LangSmith
Cons
- −Heavy abstraction layer
- −Frequent breaking changes
- −Can be over-engineered for simple use cases