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Announcement
Anastasia Dyubaylo · Sep 10, 2024

[Video] InterSystems IRIS Vector Search and the Python Ecosystem

Hi Community, Play the new video on InterSystems Developers YouTube: ⏯ InterSystems IRIS Vector Search and the Python Ecosystem @ Global Summit 2024 InterSystems
Article
Alex Woodhead · Mar 30

Vector Embeddings and Vocal Search. Analysis and innovation notes

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
Announcement
Anastasia Dyubaylo · Mar 26

[Video] Quick wins with InterSystems IRIS Vector DB

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
Article
Alice Heiman · Mar 1

IRIS Vector Search for Matching Companies and Climate Action

, we’ll show you how to implement this tool as a chatbot interfacing with an InterSystems IRIS vector database. Step 1: Setup Step 2: Create database table Step 3: Embed content
Article
Suze van Adrichem · Mar 3

IRIS Vector Search for Climate Matching: Introducing BAS

. 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
Announcement
Anastasia Dyubaylo · Apr 15, 2024

Kick-off Webinar for Vector Search, GenAI and ML Contest

Hey Community, We're pleased to invite all the developers to the upcoming kick-off webinar for the Vector Search, GenAI and ML Contest! Discover the exciting challenges
Announcement
Evgeny Shvarov · May 16, 2024

Technological Bonuses Results for Vector Search, GenAI and ML Contest

Hi Developers! We are happy to present the bonuses page for the applications submitted to the Vector Search Programming Contest! Project Vector Search
Announcement
Anastasia Dyubaylo · May 21, 2024

Online Meetup with the Winners of the Vector Search, GenAI and ML Contest

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
Announcement
Anastasia Dyubaylo · Jun 17

[Video] RAG with built-in Vector Search in InterSystems IRIS 2025.1

with built-in Vector Search in InterSystems IRIS 2025.1 The 2025.1 release of InterSystems IRIS introduces powerful new support for retrieval-augmented generation (RAG) using
Article
Dmitry Maslennikov · Sep 18, 2023

Vectors support, well almost

Nowadays so much noise around LLM, AI, and so on. Vector databases are kind of a part of it, and already many different realizations for the support in the world outside of IRIS
Article
Robert Cemper · Oct 9, 2024

My personal approach to Vectors

Motivated by personal feedback by @EDILSON.EBERLECARVALHO9706 and an excellent presentation of @Michael.Braam related to Vector Search I'd like to sharemy personal approach
Article
Jim Liu · May 14

A Semantic Code Search Solution for TrakCare Using IRIS Vector Search

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
Announcement
Anastasia Dyubaylo · Feb 27

InterSystems AI Programming Contest: Vector Search, GenAI and AI Agents

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
Article
Ikram Shah · May 12, 2024

IRIS AI Studio: A playground to explore the Generative AI & Vector Embedding capabilities

Playground or Azure/Vertex AI Studio? Such a user-friendly environment would empower non-technical stakeholders to grasp the capabilities and constraints of Vector DB effortlessly
Announcement
Ronnie Hershkovitz · Feb 18

[Hebrew Webinar]: GenAI + RAG - Leveraging InterSystems IRIS as your Vector DB

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👈