Search

The application uses IRIS as a vector store.

The server converts the question “Who is the villain in this play” into a numeric vector using the same text-to-vector model that generated the vector embeddings for King Lear, and

how early adopters are successfully using vector search in InterSystems IRIS to enhance user experiences, streamline workflows, and reduce operational complexity.

🚀 Vote for this application in Vector Search, GenAI and ML contest, if you find it promising! Feel free to share any feedback or inputs you may have. Thank you.

Using SQL Gateway with Python, Vector Search, and Interoperability in InterSystems Iris Part 1 - SQL Gateway Hello In this article we will look at the use of SQL Gateway in Iris.

we store the vectors in an IRIS database.

Companies Search is a API REST, harnesses InterSystems Vector Search to extract company information from a vector database using keywords.

vectors.

Vectorization model : to vectorize the different documents associated with the context.

Idea Author Expand Vector Arithmetics @Robert.Cemper1003 Vector search support for llama-index with metadata @Somesh.Mehra GUI for Vector DB Management @Ikram.Shah3431

Search, including integrating dense vector storage and search with InterSystems IRIS SQL for advanced semantic search and other GenAI application patterns.

new vectorized joiner at work!

, and feed the vector store to a RAG chain with LLM and Chatbot.

Receive a concise answer generated using Large Language Models At its core, this application is powered by Intersystems IRIS for robust data handling and vector search and built

Implement Vector Search Functionality Create Vector Search Agent Handoff to Triage (Main Agent) Run The Agent 1.