11 Application(s) results for #Retrieval-Augmented Generation (RAG)
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InterSystems IRIS GraphRAG

GraphRAG with InterSystems IRIS

F
Fan Ji
Docker
Python
AI
4.0 (1)18 Mar, 2026 163

docbook-markdown-extension

Convert InterSystems IRIS documentation pages into markdown.

L
Luke Moores
AI
5.0 (2)12 Mar, 2026 103

InterSystems Ideas Waiting to be Implemented

AI extensibility Prompt keyword for Class and Method implementation. Also Prompt macro generator.

To accelerate capability of growing code generation. This proposal suggests new extensibility facilities and hooks that can be democratized to community and / or fulfilled by commercial partners. To add Training metadata to Refine a Large Language Model for code, a "Prompt Input" is associated with an expected "Code Output", as part of a class definition. This provide structured keywords to describe: * The expected output * And / Or Chain-of-thought to generate the correct output | /// The following Prompt describes the full implementation of the class Class alwo.Calculator [Abstract, Prompt = "Provides methods to Add, Subtract, Multiply and divide given numbers." ] { /// The following Prompt describes the full implementation of the method ClassMethod Add(arg1 As %Float, arg2 As %Float) As %Float [ Prompt ="Add numeric arguments and return result." ] { return arg1 + arg2 } ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { &Prompt("Subtract numeric arguments and return result") ) } | The Prompt macro generates code based on the context of the method it is within. Once resolved, it automatically comments out the processed macro. | ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { //&Prompt("Subtract arguments and return the result") return arg1 - arg2 //&Prompt("Model alwogen-objectscript-7.1.3") ) | The generator leveraged at compilation time could be configured in a similar way to how source control is configured for a namespace. Configuration could lock / exclude packages from being processed in this way. A "\prompt" compilation flag could be used to control the default environment behavior and editor compilation behavior. For example to force reprocessing of previously resolved prompts due to a newer more capable version of code Large Language Model, then a "\prompt=2" could be applied. Different models or third-party services could be applied depending the language of the given method. When redacting source code by "deployment", the existing "deploy" facility could be extended to also ensure removal of "Prompt" metadata from code.

A
by Alex Woodhead

3

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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 61

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 118

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 212

☤ 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 235

oncorag

IRIS-integrated RAG pipeline for oncology data curation

P
Patrick Salome
Docker
Python
AI
0.0 (0)30 Mar, 2025 210

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 535 1

HackUPC24_Klìnic

Symptoms Clinical Trial Search Tool using Knowledge Graphs

T
Tanguy Vansnick
AI
ML
ML
0.0 (0)15 May, 2024 333

BG-AppealAI

Appeals against insurance company denials

Katsiaryna Shaustruk
Docker
IPM
AI
4.0 (1)15 May, 2024 716 2