Search

Then, the similarity between sentences is compared through Iris vector search, and finally displayed on the front-end page.

Enter vector search: a game-changing approach that captures semantic meaning, not just literal text.

Project Vector Search IntegratedML Embedded Python LLM AI or LangChain Suggest a new idea Find a bug in Vector Search, IntegratedML or Embedded Python

There will also be a demo of InterSystems IRIS Vector Search that you can use in your projects.

Community, Enjoy the new video in a series of videos created by our Project Managers to highlight some of the interesting features of the new 2025.1 release: ⏯ RAG with built-in Vector

Helpful Resources: ✓ Documentation: InterSystems IRIS Vector Search documentation InterSystems IntegratedML documentation Boosting Facial Recognition Vector Search ✓ Example

Build the vector database for Trakcare source code. Retrieve the top_K highest DOT_PRODUCT code embeddings from IRIS vector database.

Learn how IRIS Vector Search works in practice. Explore how RAG can improve the reliability and relevance of answers provided by Vector Search.

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.

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.

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

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).