LangChainvsHaystack

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

LangChain

AI Agent Frameworks

Framework for building applications with large language models

Haystack

Data & ETL

Open-source LLM framework for building NLP pipelines

FeatureLangChainHaystack
CategoryAI Agent FrameworksData & ETL
PricingFree + LangSmith paidFree (open-source)
GitHub Stars
More stars
98k
18k
PlatformsmacOS, Linux, WindowsLinux, macOS, Windows, Docker
Key Features
  • Chain composition
  • RAG pipelines
  • Agent toolkits
  • Memory systems
  • Streaming
  • Multi-model
  • LangGraph
  • Pipeline builder
  • RAG
  • Document processing
  • Model serving
  • REST API
Pros
  • + Massive ecosystem and community
  • + Modular and composable
  • + Supports every major LLM provider
  • + Excellent documentation
  • + LangSmith for monitoring
  • + Production-grade RAG pipelines
  • + Clean pipeline abstraction
  • + Strong documentation
  • + Multiple backend support
  • + Enterprise ready
Cons
  • Can be overly complex for simple tasks
  • Frequent breaking changes
  • Abstraction overhead
  • Steep learning curve
  • Steeper learning curve than LlamaIndex
  • Less community content
  • Breaking changes between versions
  • Heavy framework
Tags
open-sourceframeworkpythonjavascriptragchains
ragnlppipelineopen-source

Want to compare different tools?

← Back to compare picker

Related Comparisons