LangChain vs Haystack(2026)
LangChain is better for teams that need largest ecosystem. Haystack is the stronger choice if production-grade reliability. LangChain is open-source (from $0) and Haystack is open-source (from $0).
Full feature breakdown, pricing details, and pros & cons below.
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LangChain
LangChain is the most widely used framework for building LLM applications with chains, agents, memory, and retrieval-augmented generation (RAG) — available in Python and JavaScript.
Starting at $0
Visit LangChainHaystack
Haystack by deepset is an open-source LLM framework for building production-ready search and question-answering pipelines with modular components and enterprise reliability.
Starting at $0
Visit HaystackHow Do LangChain and Haystack Compare on Features?
| Feature | LangChain | Haystack |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $0 |
| Chains and agents | ✓ | — |
| RAG support | ✓ | — |
| Memory management | ✓ | — |
| Tool calling | ✓ | — |
| LangSmith (observability) | ✓ | — |
| Vector store integrations | ✓ | — |
| Python + JS | ✓ | — |
| Modular pipeline architecture | — | ✓ |
| Document stores | — | ✓ |
| Retrieval pipelines | — | ✓ |
| Prompt builder | — | ✓ |
| Evaluation tools | — | ✓ |
| REST API deployment | — | ✓ |
| Enterprise support | — | ✓ |
LangChain Pros and Cons vs Haystack
LangChain
Haystack
Should You Use LangChain or Haystack?
Choose LangChain if…
- •Largest ecosystem
- •Best documentation
- •Rapid prototyping
Choose Haystack if…
- •Production-grade reliability
- •Modular architecture
- •Strong evaluation tools