Haystack
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An open-source framework from deepset for building production LLM applications — RAG, search, and agents — built around composable pipelines.
Overview
Haystack takes a pipeline-first approach: you wire components — retrievers, rankers, generators — into explicit graphs, which makes applications easier to reason about and test than free-form agent loops. It has a long history in production search, so the retrieval and evaluation tooling is solid. deepset, the company behind it, sells the deepset AI Platform for teams that want a managed, governed environment. A sensible pick for enterprises that value predictable, inspectable pipelines over maximal agent autonomy.
Pros & Cons
Pros
- Explicit, testable pipeline architecture
- Mature retrieval and evaluation tooling
- Managed deepset platform for governed deployments
- Production-focused rather than demo-focused
Cons
- Pipeline model is less flexible than free-form agents
- Smaller community than LangChain or LlamaIndex
- Managed platform pricing requires a sales conversation
Workflows that use Haystack
Get a new AI workflow each week — many feature Haystack and other tools in this category.