deepset, the mission-critical AI company, announced an expansion of its offerings with deepset Studio, an interactive tool that empowers product, engineering and data teams to visually architect custom AI pipelines that power agentic and advanced RAG applications. AI teams are now able to more easily build top-tier composable AI systems, and immediately deploy them in cloud and on-premises environments using deepset Cloud and NVIDIA AI Enterprise software.
“deepset is a leader in enabling custom AI development – powering many of the world’s most trusted, high-value use cases,” said Milos Rusic, CEO and co-founder of deepset. “The addition of deepset Studio now enables developers at the thousands of companies worldwide to architect the next generation of custom LLM applications. This new tool, combined with native integrations to NVIDIA AI Enterprise, provides a robust platform for enterprise developers to safely and reliably develop mission-critical generative AI products and features.”
Pushing the boundaries of customized AI-driven business applications
deepset Studio is a drag-and-drop visual environment for building customized AI pipelines. Its intuitive interface accelerates the AI development process with a user-friendly drag-and-drop UX for AI teams to architect a wide range of LLM use cases, from RAG to agentic applications. Key benefits of deepset Studio include the ability to:
- Design AI pipelines with a drag-and-drop visual editor that automatically validates component relationships and pipeline structure.
- Leverage Haystack’s comprehensive library of integrations and components to create flexible and composable application architectures like RAG and agents.
- Jumpstart the development process with proven pipeline templates, component configurations, and shareable visual representations of simple to complex AI systems.
- Go to production faster with native cloud and on-premises deployment options for deepset Cloud and NVIDIA AI Enterprise.
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Extending the power of Haystack, deepset Cloud and NVIDIA
deepset Studio is available as a free standalone tool for users of the popular Haystack open-source framework and is built into the deepset Cloud platform and integrated with NVIDIA AI Enterprise for cloud or on-premises deployments of production AI. With this,
- Haystack users can build and visualize AI pipelines for “cloud-to-ground” environments, speeding development time and simplifying collaboration. Haystack is the leading open-source AI framework for developing production-ready applications and is the choice for thousands of developers due to its quality codebase, flexible framework, and wide library of components and integrations.
- deepset Cloud customers gain a powerful and intuitive visual editor as a platform feature to facilitate the creation of AI pipelines in the platform. deepset Cloud provides a complete set of development tools – from data management and LLM choice to prompt configuration and evaluation – empowering AI teams at companies such as Airbus and YPulse to develop and deploy enterprise-grade applications within a secure and scalable environment.
- NVIDIA AI Enterprise users can optimize their deployments through deepset Studio’s integration with NVIDIA NIM microservices and the NVIDIA API catalog. Users can configure NIM microservices deployments and LLM inference directly in Studio. The tool provides deployment guides for setting up NIM and Haystack pipelines on Kubernetes, streamlining deployment to any cloud or data center.
SOURCE: BusinessWire