Overview
LangChain is a popular framework that streamlines every stage of the LLM application lifecycle—from prompt engineering to deployment. It offers unified abstractions and composable building blocks so developers can chain together language models, tools, retrievers, and memory to build chatbots, RAG systems, autonomous agents, and more.
Key Capabilities
- High-level “Chain”, “Agent”, and “Runnable” abstractions
- Prompt templates, scalable retrievers, and vector-store integrations
- Memory components for context persistence across conversations
- Tool calling, function routing, and multi-step agent orchestration
- LangSmith suite for tracing, evaluation, and dataset management
- Multi-language support (Python, JS/TS, Java, Rust) and extensive ecosystem plugins
- Production-focused features: async execution, streaming, callbacks, and observability
