10 Application(s) results for #Retrieval-Augmented Generation (RAG)
Filter
Show only
Last release on OEX
Categories
Works with
Industry
Status
Application NameDeveloperMade withRatingLast updatedViewsInstalls

FHIR-AI-Hackathon-Kit

A kit for using IRIS with Python to create FHIR applications with AI

G
Gabriel Ing
Docker
Python
AI
0.0 (0)16 Jan, 2026 32

FHIR SQL Builder with Vector Search

FHIR SQL Builder with Vector Search Demo

F
Fan Ji
Docker
Python
AI
5.0 (2)22 Nov, 2025 83

InterSystems Ideas Waiting to be Implemented

Implement IRIS connector for Airbyte data integration engine

Airbyte is an open-source data integration platform that allows users to sync data from different sources to various destinations. Its architecture is modular and it relies on the use of connectors for each source or destination. Every connector has the task of understanding, extracting, and writing data from or to a specific system. https://airbyte.com/connectors The reasons for implementing a connector to IRIS for Airbyte include: * Real-time Data Movement: If you want to move data in real-time (or near-real-time) from IRIS to other platforms (or vice-versa), a dedicated connector in Airbyte can facilitate that. * Ease of Use: With an Airbyte connector, users can easily set up and manage data integrations without having to write custom code. This is particularly useful for teams without extensive development resources. * Scalability: Airbyte's architecture supports scalable data integration. As your data grows in IRIS or other platforms, Airbyte can handle the increased load. * Customization: Every organization's data needs are unique. With an open-source platform like Airbyte, organizations have the flexibility to customize the IRIS connector as per their specific needs. * Community Support: As more organizations use and contribute to the Airbyte connector ecosystem, the connectors, including the one for IRIS, will benefit from community-driven enhancements, bug fixes, and best practices. In conclusion, implementing a connector to IRIS for Airbyte can significantly simplify and enhance the process of integrating InterSystems IRIS with other data platforms and tools, enabling organizations to gain more value from their data assets. Airbyte offers cloud or self-managed solutions, as well as open-source and enterprise.

D
by Dmitry Maslennikov

5

Votes

2

Comments
Vote

InterSystems IRIS GraphRAG

GraphRAG with InterSystems IRIS

F
Fan Ji
Docker
Python
AI
4.0 (1)02 Oct, 2025 102

customer-support-agent-demo

AI-powered customer support agent built with Python smolagents and InterSystems IRIS — SQL, RAG, and live interoperability

A
Alberto Fuentes
Docker
Python
AI
4.5 (1)29 Aug, 2025 159

☤ Care 🩺 Compass 🧭

RAG AI app for care managers, uses InterSystems IRIS as the Vector Store

B
Brad Nissenbaum
AI
5.0 (1)13 Jul, 2025 195

oncorag

IRIS-integrated RAG pipeline for oncology data curation

P
Patrick Salome
Docker
Python
AI
0.0 (0)30 Mar, 2025 174

IRIS RAG App

Iris python first experience django template

A
Alex Alcivar
Docker
Python
AI
ML
ML
4.5 (1)06 Aug, 2024 1.6k

iris-RAG-Gen

RAG Personal ChatGPT app leverages IRIS Vector Search func.

Muhammad Waseem
Docker
Python
IPM
AI
5.0 (1)31 Jul, 2024 507 1

HackUPC24_Klìnic

Symptoms Clinical Trial Search Tool using Knowledge Graphs

T
Tanguy Vansnick
AI
ML
ML
0.0 (0)15 May, 2024 307

BG-AppealAI

Appeals against insurance company denials

Katsiaryna Shaustruk
Docker
IPM
AI
4.0 (1)15 May, 2024 660 2