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Traditional keyword search has limits — especially when users don't know the exact words to use. Enter vector search: a game-changing approach that captures semantic meaning, not just literal text. In this session, we’ll explore how InterSystems IRIS brings this powerful capability to life with native support for vector and embedding types.
You’ll see:
- How vector search enhances results by understanding context and intent
- Use cases like semantic document search and retrieval-augmented generation (RAG)
- A high-level walkthrough of how to implement vector search in IRIS, from storing embeddings to using similarity functions like VECTOR_DOT_PRODUCT
- Tips on getting started quickly — whether you're integrating with AI models or building smart data experiences
This session is ideal for developers, architects, and technical stakeholders curious about adding intelligent search to their apps.
Speaker
Ruby Howard
Sales Engineer
Sales Engineer
Ruby is one of the newest additions to the Sales Engineering team at InterSystems, where she specialises in unlocking the AI-powered capabilities of InterSystems technologies. Her role involves direct collaboration with clients, particularly through the use of proprietary vector search software, to deliver and implement innovative, tailored solutions. With a solid academic background in mathematics and programming, Ruby approaches challenges with a disciplined, logical mindset and serves as a key contributor to the success of the wider sales team.