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| Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
|---|---|---|---|---|---|---|
![]() AutoML Churn Predict ShowroomInterSystems IRIS AutoML Showroom | Docker IPM ML ML | 5.0 (1) | 12 May, 2024 | |||
![]() companies-searchFind a company based on Glassdoor with Vector Search and GPT. | L | Docker Python IPM AI | 5.0 (1) | 17 May, 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 | ||||||
iris-image-vector-searchUsing IRIS vector search to achieve image retrieval | s | Docker Python IPM | 4.5 (1) | 15 May, 2024 | ||
Job Advertisement GeneratorRAG tool to assist HR in creating job advertisements quickly | S | AI | 0.0 (0) | 09 May, 2024 | ||
![]() hackupcHACKUPC 2024 edition | M | Python AI ML ML | 0.0 (0) | 07 May, 2024 | ||
ImageSearchVideoAn image search corresponds to a video application | R | Docker IPM | 4.5 (1) | 07 May, 2024 | ||
![]() Hackupc24_interText-to-video application based on user photos. | J | Python AI | 0.0 (0) | 05 May, 2024 | ||
![]() Demo-Pandas-AnalyticsDemo application to demonstrate how to use the analytics power of IRIS Embedded Python | E | Docker Python IPM | 5.0 (1) | 03 May, 2024 | ||
![]() hl7v2-to-kafkaA simple IRIS interoperability application - transform HL7 and send it to Kafka | S | Docker IPM | 5.0 (1) | 01 May, 2024 | ||
AriticleSimilarityComparing article similarity through vector search | x | Docker IPM | 3.5 (1) | 09 May, 2024 | ||
![]() workshop-workflowExample of workflow management an UI | Docker | 5.0 (1) | 26 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 | ||
deployed-code-templateAn example of how to deploy ObjectScript without source via IPM | Docker IPM | 5.0 (2) | 22 Apr, 2024 | |||
![]() iris-openaiLibrary for use Open AI | Docker IPM AI | 5.0 (5) | 18 Apr, 2024 | |||
![]() llama-irisSupport for IRIS for Llama-index | Docker Python | 0.0 (0) | 16 Apr, 2024 | |||
![]() langchain-irisSupport for IRIS for Langchain | Python | 5.0 (1) | 16 Apr, 2024 | |||
fhirproSupports the profiling of FHIR resources in HealthShare ODS | B | 5.0 (2) | 04 Apr, 2024 | |||
iris-fhirsqlbuilder-dbt-integratedmlDemonstration of building predictive models trained on FHIR data | Docker Python AI ML ML | 0.0 (0) | 29 Mar, 2024 | |||
workshop-vector-faceFace recognition using vectors and vector search. | Docker AI | 4.8 (2) | 27 Mar, 2024 | |||
iris-xml-sampleIRIS sample for interoperate XML files | Docker | 5.0 (1) | 27 Mar, 2024 | |||
BardPythonSampleAn Embedded Python Calling Bard Example | x | Python IPM AI | 0.0 (0) | 25 Mar, 2024 | ||
![]() iris-analytics-packageThis project has the intention to show a basic approach using the Analytics capabilities of InterSystems IRIS | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||
iris-analytics-notebookA notebook approach to use IRIS analytics capabilities. | Docker IPM | 4.0 (1) | 25 Mar, 2024 | |||
sql-rest-apiSimple REST API web app which accepts SQL and returns the result in JSON | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||
iris-csv-anonymizerVersion: store/intersystems/iris-community:2020.3.0.221.0 | R | Docker IPM | 5.0 (1) | 25 Mar, 2024 | ||
iris-image-index-demoA demo on how to build a custom SQL index for images data type. | Docker Python IPM | 3.0 (1) | 25 Mar, 2024 | |||
![]() fast-JSON-formatting-IRISfast JSON formatting in IRIS | Docker IPM | 4.5 (1) | 25 Mar, 2024 | |||
![]() WebSocketClient CSP basedExtended CSP page consuming WebService as Client | Docker IPM | 3.0 (1) | 25 Mar, 2024 | |||
![]() iris-fhir-portalPatient Chart using FHIR Resources | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||
iris-fullstack-templateThis template shows you how to build, test and deploy a simple full-stack application using InterSystems IRIS REST API | Docker IPM | 5.0 (1) | 25 Mar, 2024 | |||