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| Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
|---|---|---|---|---|---|---|
deployed-code-templateAn example of how to deploy ObjectScript without source via IPM | Docker IPM | 5.0 (2) | 22 Apr, 2024 | |||
![]() Database Growth - Data Collection and AnalysisThe two continued repos are linked at the end of DataCollection. | A | Docker | 4.0 (2) | 04 Aug, 2024 | ||
InterSystems Ideas Waiting to be ImplementedAI 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 3Votes1Comments | ||||||
![]() geo-vector-searchmathematical use of vector search | Docker | 5.0 (3) | 25 Jan, 2026 | |||
![]() hl7v2-to-kafkaA simple IRIS interoperability application - transform HL7 and send it to Kafka | S | Docker IPM | 5.0 (1) | 01 May, 2024 | ||
ImageSearchVideoAn image search corresponds to a video application | R | Docker IPM | 4.5 (1) | 07 May, 2024 | ||
![]() hackupcHACKUPC 2024 edition | M | Python AI ML ML | 0.0 (0) | 07 May, 2024 | ||
Job Advertisement GeneratorRAG tool to assist HR in creating job advertisements quickly | S | AI | 0.0 (0) | 09 May, 2024 | ||
iris-image-vector-searchUsing IRIS vector search to achieve image retrieval | s | Docker Python IPM | 4.5 (1) | 15 May, 2024 | ||
![]() iris-medicopilotMediCopilot uses AI to assist healthcare professionals | Docker Python IPM AI | 4.5 (1) | 19 May, 2024 | |||
![]() AutoML Churn Predict ShowroomInterSystems IRIS AutoML Showroom | Docker IPM ML ML | 5.0 (1) | 12 May, 2024 | |||
![]() BG-AppealAIAppeals against insurance company denials | Docker IPM AI | 4.0 (1) | 15 May, 2024 | |||
![]() WALL-MA Platform for Retrieval Augmented Generation (RAG) for Question-Answering of E-Mails | S | Python AI ML ML | 0.0 (0) | 13 May, 2024 | ||
![]() iris-VectorLabThe application demonstrates the functionality of Vector Search. | Docker Python IPM AI | 5.0 (1) | 15 May, 2024 | |||
![]() potatoes_patatasTravel Planning 2.0: Uniting similar people in similar layovers! | B | Python AI ML ML | 0.0 (0) | 13 May, 2024 | ||
iris-health-coachLLM Health Coach using InterSystems Vector DB | Z | IPM AI ML ML | 4.5 (1) | 18 May, 2024 | ||
yaspeyet another SystemPerformance extractor | M | Docker Python | 0.0 (0) | 21 May, 2024 | ||
iris-angular-templateA template for RESTful IRIS applications using Angular | E | Docker IPM | 4.0 (1) | 07 Jun, 2024 | ||
AdvancedIRISBISamplesAdvanced samples for InterSystems IRIS BI | P | 4.5 (1) | 10 Jun, 2024 | |||
iris-django-templateIris python first experience django template | G | Docker Python | 3.5 (1) | 25 Jun, 2024 | ||
iris-flask-templateIris python first experience flask template | G | Docker Python | 3.5 (1) | 25 Jun, 2024 | ||
iris-fastapi-templateIris python first experience with fastapi | G | Docker Python | 3.5 (1) | 25 Jun, 2024 | ||
![]() d[IA]gnosisWeb application to find out diagnoses and suggest ICD-10 codes | Docker Python AI | 5.0 (1) | 23 Dec, 2024 | |||
![]() sheltershareProof of Concept application for Volunteers and Victims of natural disasters utilizing IRIS by Intersystems | Z | Docker Python | 5.0 (1) | 27 Jul, 2024 | ||
IRIS RAG AppIris python first experience django template | A | Docker Python AI ML ML | 4.5 (1) | 06 Aug, 2024 | ||
![]() iris-RAG-GenRAG Personal ChatGPT app leverages IRIS Vector Search func. | Docker Python IPM AI | 5.0 (1) | 31 Jul, 2024 | |||
![]() iris-errors-analysis-graphAnalyze errors on the IRIS portal generate statistical graphs. | L | Docker Python IPM AI | 1.8 (2) | 28 Jul, 2024 | ||
irislabIRIS Lab - Management Portal in the form of VSCode | Docker Python IPM | 5.0 (1) | 27 Aug, 2024 | |||
iris-bi-utilsImport, export, autocheck | E | Docker IPM | 5.0 (1) | 20 Aug, 2024 | ||
![]() CommentToObjectScriptAdd comments to ObjectScript in VSCode | 0.0 (0) | 01 Aug, 2024 | ||||
DataAIhttp://DataAI.link - Where Data Meets Intelligence! | I | AI | 0.0 (0) | 03 Aug, 2024 | ||