LangChain

Build context-aware reasoning applications

★ 4.3

Framework for developing applications powered by language models. Chain LLMs together with tools, memory, and agents. The standard for LLM apps.

93K

GitHub Stars

supported

TypeScript

medium

Learning Curve

4.0

DX Score

Website besuchen → Dokumentation anzeigen GitHub

Preise

Model

free

Kostenlose Stufe

MIT licensed, fully open source

Paid

LangSmith for observability

Funktionen

✓ LLM chains
✓ Agents and tools
✓ Memory systems
✓ RAG support
✓ Vector store integrations
✓ Document loaders
✓ Output parsers
✓ Callbacks and tracing
✓ LangGraph for workflows

Vorteile

+ Most popular LLM framework
+ Huge integration ecosystem
+ Active development
+ Great documentation
+ Strong community

Nachteile

- Abstraction can be heavy
- Frequent breaking changes
- Can be overkill for simple apps
- Performance overhead

Am besten für

startup enterprise

llm ai agents rag chains