Visual AI Application Designer for Developers Everywhere
deepset Studio: the AI engineer’s visual programming editor for compound AI systems
Introducing deepset Studio: a free visual programming interface for Haystack, our leading open source AI framework.
As AI applications and use cases continue to advance, so do the underlying architectures that they run on. Designing and customizing these multifaceted systems in traditional coding environments poses a significant challenge.
Architect any AI use case
Design AI pipelines with a drag and drop editor and visualize any LLM use case from RAG to agents to multimodal AI.
Create future-proof, flexible AI systems
Leverage Haystack’s comprehensive library of integrations and components – or customize your own – to build composable AI systems tailored to your organization.
Develop with speed and confidence
Jumpstart the development process with proven code templates and a visual environment to orchestrate and troubleshoot AI applications.
Achieve organizational AI competency
Empower every developer to be an AI builder with pipeline validation, suggested components, and easy to access documentation.
The AI engineer’s visual programming editor
Haystack by deepset
The end-to-end Python framework that you can use to build powerful and production-ready pipelines with LLMs.
deepset Studio Resources
deepset Studio FAQs
Haystack by deepset is an open source framework for building production-ready LLM applications, retrieval-augmented generative pipelines and state-of-the-art search systems that work intelligently over large document collections. Our inspiring community of users and builders has helped shape Haystack into the modular, intuitive, complete framework it is today.
deepset Studio is built for Haystack. All Haystack developers and aspiring Haystack developers can use deepset Studio to experiment with Haystack and build creative and mission-critical AI applications.
Pipelines and components are core concepts in Haystack's AI framework. In compound AI, components and pipelines are the building blocks that allow teams to quickly and easily assemble a working system. Components are typically responsible for a single task, such as preprocessing, retrieving, or summarizing text while routing queries through different branches of a pipeline. Components are then combined to form pipelines. Haystack pipelines are directed multigraphs of different Haystack components and integrations. With the flexibility of Haystack pipelines, you can have simultaneous flows, standalone components, loops, and other types of connections.
deepset Studio is the only visual programming interface for Haystack available today.
Any developer, data scientist, product manager, or aspiring AI engineer can use deepset Studio. It is free to use with sign up. In the future, there may be certain paid features introduced to deepset Studio.
In deepset Studio (standalone), users can export their pipelines to YAML for use in their existing development workflows. A Python export option is planned.
In deepset Cloud, users can easily deploy AI pipelines from Studio in one click, leveraging deepset Cloud's secure cloud infrastructure.
deepset Studio is seamlessly integrated within deepset Cloud and available to all deepset Cloud users. It is the default mechanism for designing, editing, and deploying AI pipelines.
deepset Cloud users can create pipelines in Studio leveraging deepset Cloud's extensive library of pipeline templates spanning the most common and complex LLM use cases.
While deepset Studio is built for Haystack, an open source AI framework, it is not currently open source. Still, we welcome the Haystack community to share product feedback and ideas for deepset Studio through our Discord channel.