Deepset

Deepset is the Berlin company behind Haystack, the open-source framework for building production LLM and RAG applications, plus a managed enterprise platform.

Overview

Deepset helps teams turn documents and data into reliable AI applications: search, question answering, summarization and agents built from composable pipelines. Haystack has become one of the most widely used open frameworks for retrieval-augmented generation, while deepset’s enterprise platform adds evaluation, deployment and observability for organizations running these systems in production. The company is a fixture of the European open-source AI scene and serves customers in finance, industry and media.

Key Features

• Haystack open-source framework for pipelines, RAG and agents
• Managed platform with deployment, scaling and monitoring
• Evaluation tooling that measures retrieval and answer quality
• Integrations with major model providers and vector databases
• Document processing components for parsing and chunking
• Enterprise support with European data-residency options

Pricing

Haystack is free and open source. deepset’s enterprise platform and support are subscription-based, with pricing depending on scale and service level.

Who Is It For

Engineering teams building search and RAG systems on open foundations, and enterprises that want those systems supported and observable in production.

Use Cases

Deepset serves teams building search, question answering and RAG systems that must survive production traffic.

• Enterprise document search with grounded answers
• LLM application pipelines with evaluation built in
• Migration of prototypes onto managed infrastructure

Getting Started

Start with the open-source Haystack framework locally; when the pipeline proves out, move it onto the deepset platform for deployment, monitoring and support.

Results to Expect

Teams report faster path from prototype to production and much better visibility into retrieval quality, thanks to first-class evaluation tooling.

Implementation and Support

Start free with Haystack locally, then move pipelines onto the managed platform for deployment and monitoring. Enterprise plans add support with European data-residency options.

Limitations to Keep in Mind

The framework has a learning curve, and production scale means managing evaluation and model choices deliberately.

What Users Say

Engineers like the production focus — pipelines, evaluation and deployment rather than tutorial-only abstractions.

FAQ

Is Deepset free to use?

Yes for the Haystack framework; the deepset platform and enterprise support are paid offerings with trial options.

Does Deepset offer an API?

Yes — deepset pipelines can be deployed as REST endpoints, and the platform exposes APIs for embedding AI services into applications.

How does Deepset compare to alternatives?

Against LangChain-style libraries, Haystack emphasizes production pipelines and evaluation; against hyperscaler RAG services, deepset keeps the stack portable and model-agnostic.