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Add Vector Search for Semantic Understanding Finally, integrate IRIS Vector Search to add semantic intelligence on top of the structured questionnaire data.

But this example of performing vector operations through a lighter model seems exciting.

Importing FHIR Data with Vectors Generate vector embeddings from FHIR patient descriptions and insert them into IRIS easily: from sentence_transformers import SentenceTransformer

All we need is a Vector DB. Lucky for you, this is one of IRIS's newest features.

Advanced Analytics with Vector Search** InterSystems IRIS’s native vector datatype and similarity functions were utilized to perform vector search on health data.

search of already indexed vectors.

Explore how InterSystems IRIS vector search anchors chatbot capabilities by delivering fast, relevant, and context-aware responses.

It covers one complete flow from loading data into IRIS DB as vector embeddings and retrieving information through 4 different channels (search, chat, recommender and similarity).

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

The application uses IRIS as a vector store.

🚀 Vote for this application in Vector Search, GenAI and ML contest, if you find it promising!

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.

To do this, we implemented a simple BPL that extracts the diagnosis code from the message and sends it to a method to generate the vector: And here is the code that vectorizes the

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.