deepmission-critical AI company, today announced the expansion of its offering with deepset Studio, an interactive tool that enables product, engineering, and data teams to visually design custom AI pipelines that power agent-based applications and advanced RAGs. AI teams can now more easily build top-of-the-line, composable AI systems and deploy them instantly to cloud and on-premises environments using deepset Cloud and NVIDIA AI Enterprise software.
Pushing the boundaries of AI-powered, customizable business applications
deepset Studio is a visual, drag-and-drop environment for building custom AI pipelines. Its intuitive interface accelerates the AI development process with a user-friendly, drag-and-drop UX for AI teams to design a wide range of LLM utilize cases, from RAGs to agent applications. Key benefits of deepset Studio include the ability to:
- Design AI processes with a visual drag-and-drop editor that automatically validates component relationships and process structure.
- Exploit Haystack’s extensive library of integrations and components to create elastic and composable application architectures such as RAGs and agents.
- Jump-start your software development process with proven process templates, component configurations, and shared visual representations of both elementary and convoluted AI systems.
- Get to production faster with cloud-native and on-premises deployment options for Deepset Cloud and NVIDIA AI Enterprise.
Haystack, deepset Cloud and NVIDIA power expansion
deepset Studio is available as a free standalone tool for users of the popular Haystack is an open source framework and is built into deep cloud platform and integrated with NVIDIA AI Enterprise for production AI deployments in the cloud or on-premises. This enables
- Haystack Users can build and visualize AI pipelines for cloud-to-ground environments, accelerating development time and simplifying collaboration. Haystack is the leading open-source AI framework for building production-ready applications and is the choice of thousands of developers for its high-quality codebase, elastic frameworks, and broad library of components and integrations.
- deep cloud customers to win a powerful and intuitive visual editor as a platform feature that makes it uncomplicated to build AI pipelines on the platform. deepset Cloud provides a complete set of development tools – from data management and LLM selection to rapid setup and evaluation – enabling AI teams at companies such as Airbus and YPulse to develop and deploy enterprise-class applications in a secure and scalable environment.
- NVIDIA AI Enterprise Users can optimize their deployments by integrating deepset Studio with NVIDIA NIM microservices and the NVIDIA API catalog. Users can configure NIM microservice deployments and LLM inference directly in Studio. The tool provides deployment guides for configuring NIM and Haystack pipelines in Kubernetes, streamlining deployment to any cloud or data center.