Start Developing Generative AI Apps Today
Get deepset Studio: the community version of deepset Cloud, featuring Haystack's production-ready LLM orchestration framework. It’s free to use.
Introducing deepset Studio:
Your gateway to building Gen AI applications with speed and flexibility
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 modular AI systems tailored to your organization.
Develop with speed and confidence
Jumpstart the development process with a library of pre-built pipeline templates for common use cases.
Refine your AI prototypes
Test and debug prototypes in deepset’s Playground environment, then easily share them with stakeholders for feedback.
Focus on AI innovation, not infrastructure
Avoid resource intensive infrastructure setup and focus on building impactful AI applications instead. Leverage deepset's pre-configured, secure, and production-ready infrastructure and built-in data processing services.
Build AI Like a Pro
The AI engineer’s development environment
Haystack by deepset
The end-to-end Python framework that you can use to build powerful and production-ready pipelines with LLMs.
deepset Studio: Featured Resources
deepset Studio FAQs
Haystack by deepset is an open source framework for building production-ready AI applications such as RAG pipelines, agents and intelligent document retrieval systems on large multimodal data collections. Haystack is hailed by AI developers as a highly flexible, comprehensive and well-documented AI orchestration framework.
deepset Studio uses Haystack as its underlying LLM orchestration technology. Haystack developers and aspiring Haystack developers can use deepset Studio to experiment with Haystack and bring more speed and control to their AI application development process.
Pipelines and components are core concepts in Haystack. They are the building blocks that allow developers to build powerful yet highly flexible Compound AI systems in record time.
Components typically perform a single task, such as preprocessing, document retrieval, or text summarization. By chaining components together, they form more intricate LLM pipelines in which data is processed by flowing from one component to the next. The flexibility of Haystack pipelines allows you to create concurrent flows, standalone components, loops, and other types of connections.
Any developer, data scientist, product manager, or AI engineer can use deepset Studio. Prior knowledge of Haystack is not necessary. deepset Studio is free to use with sign up.
deepset Studio is the community version of deepset Cloud. It is a free tool for individual developers with usage restrictions. It is ideal for prototyping your AI applications on a hosted infrastructure.
deepset Cloud is our comprehensive platform for developing and deploying custom, enterprise-grade AI applications. It includes additional features to improve AI pipeline performance and test multiple prototypes side by side. deepset Cloud has no usage limits. It provides the infrastructure needed to run multiple, highly available, auto-scaling AI applications in cloud or on-premises environments.
Users can export their pipelines to YAML or Python code for use in their existing development workflows.
While deepset Studio is built on top of Haystack, an open source AI framework, it is not currently open source. However, we welcome the Haystack community to share product feedback and ideas for deepset Studio via our Discord server.