Vector search provides support for next-generation AI applications.
Artificial intelligence has the transformative potential to unlock value and insight from data.To support this, InterSystems, a provider of creative data technologies dedicated to helping customers solve their most critical scalability, interoperability, and speed issues, has introduced Vector Search. InterSystems IRIS data platform.
As businesses move into a world where nearly every application is AI-powered, the developers building those applications will need the right tools to create experiences from those applications. vector search It represents a fundamental evolution of the InterSystems IRIS data platform and provides unparalleled support for next-generation AI applications. By leveraging advanced vector-based search capabilities, InterSystems IRIS now enables developers and enterprises to unlock new possibilities in AI-driven insights, decision-making, and user experience.
“At InterSystems, we are always looking for ways to bring next-generation data processing capabilities closer to our customers' data without having to transfer the data to proprietary systems,” said Henry Adams, Country Manager, InterSystems South Africa. Masu.
By adding vector search to the InterSystems IRIS data platform, the company will make the data platform searchable through vector embeddings and enhance its capabilities for tasks related to natural language processing, text and image analysis. When working with large language models, this feature allows you to efficiently and accurately retrieve relevant information from large datasets across your organization.
Empowering generative AI developers
This integration makes it easier for developers to use generative AI to complete complex tasks for a wide range of use cases and create applications that provide modern responses based on proprietary data processed by InterSystems. Masu. This also means you can do this with highly selective data, while being confident in keeping your company's proprietary information safe.
This feature enables the InterSystems IRIS data platform to manage and query content and associated dense vector embeddings, especially to enable search augmented generation (RAG) integration for developing generative AI-based applications. Masu. With access to a rapidly evolving toolset, seamless RAG integration allows for agile adoption of new models and use cases.
“Vector Search will fundamentally change the way developers interact with InterSystems IRIS, and we are excited to bring it to market,” said Adams. “our dedication Upholding the highest standards of privacy, security, and accountability guides a thoughtful and ethical approach to AI that creates trust, ensures customer success, and demonstrates a commitment to excellence while accelerating innovation. ”
