Haystack vs LangChain

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

What people use each for

The jobs each tool is most often brought in to do.

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Pricing, plan by plan

Which should you pick?

Questions people ask

Is Haystack or LangChain better?

Neither clearly leads. Haystack starts at Free and LangChain at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, Haystack or LangChain?

Haystack starts at Free and LangChain at Free.

Does Haystack or LangChain run on more platforms?

Haystack runs on Python, Cloud-agnostic. LangChain runs on Linux, Mac, Windows.

Can I use Haystack for free?

Both have a free tier, so you can try either at no cost before committing.

What is Haystack best used for?

Haystack is most often used for building production llm applications with full control, creating retrieval-augmented generation systems, developing autonomous ai agents, multi-provider llm orchestration. Of those, building production llm applications with full control and creating retrieval-augmented generation systems are not what LangChain is typically brought in for.

What can Haystack do that LangChain cannot?

Haystack covers Modular pipeline composition, Multi-provider LLM support, Agent framework, Observability and debugging. LangChain covers Chains and agents, Tool integration, Prompt templates, OpenAI. Both handle Retrieval-augmented generation, Memory management.