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Background Embeddings is a new IRIS feature empowering the latest capability in AI semantic search.This presents as a new kind of column on a table that holds vector data.The

The latest Node.js Weekly newsletter included a link to this article: https://thecodebarbarian.com/getting-started-with-vector-databases-in-node-js.html I'm wondering if anyone

I recently had to refresh my knowledge of the HealthShare EMPI module and since I've been tinkering with IRIS's vector storage and search functionalities for a while I just had

We've recently made available a new version of InterSystems IRIS in the Vector Search Early Access Program, featuring a new Approximate Nearest Neighbor index based upon

voice. IRIS integration could manipulate the recordings to extract semantic meaning that IRIS vector search can then offer for new types of AI solution opportunity. The fun

. NVIDIA Llama Embeddings: We use Llama-3.2-nv-embedqa-1b-v2 embeddings for our embedding database and query embedding in our RAG vector search. LangChain: We use LangChain

Hey Community, Enjoy the new video on InterSystems Developers YouTube: ⏯ Quick wins with InterSystems IRIS Vector DB This demo shows how to enhance an existing tools

Hi Community, Let's meet at the online meetup with the winners of the Vector Search, GenAI and ML Contest. It's a great opportunity to chat with the InterSystems Experts team

Hey Community, It's time for the first programming contest of the year, and there's a surprise so read on! Please welcome: 🏆 InterSystems AI Programming Contest: Vector

This article presents a potential solution for semantic code search in TrakCare using IRIS Vector Search. Here's a brief overview of results from the TrakCare Semantic code

Hi Community, We're pleased to invite you to the upcoming webinar in Hebrew: 👉 Hebrew Webinar: GenAI + RAG - Leveraging Intersystems IRIS as your Vector DB👈

Hi Developers! Here're the technology bonuses for the InterSystems AI Programming Contest: Vector Search, GenAI and AI Agents that will give you extra points in the voting

in our application, we can search for the ICD-10 diagnoses closest to the text entered by the professional. To speed up the search process, we stored the vectorized text

$vector datatype. $vector is an internal-only (for now) datatype that leverages adaptive encoding schemes to allow efficient storage of both sparse and dense data. The encoding

Hi Community,Traditional keyword-based search struggles with nuanced, domain-specific queries. Vector search, however, leverages semantic understanding, enabling AI agents