Demo of how to use vector search using Intersystems IRIS
AI-powered FHIR assistant with RAG and IRIS.
Introduce an adapter that will allow to pull and push data into Microsoft One-drive resources: files, spreadsheets, Word
An AI-Native Low-Code platform for InterSystems IRIS. Build UIs, REST APIs, SQL Schemas, and FHIR Integrations using natural language agents. Zero boilerplate, pure creation.
Register and validate people using facial recognition
Example of RAG using IRIS vector search
Tool for public tender analytics
This is a POC to demonstrate how InterSystems IRIS can be used to interact with an external language via the Python SDK (IRIS Native) to create and analyze a FHIR repository. Finally, the data is visualized using Streamlit, featuring hybrid search to locate the patient and a local LLM model to generate a patient history based on the extracted data.
AI-powered customer support agent built with Python smolagents and InterSystems IRIS — SQL, RAG, and live interoperability
RAG AI app for care managers, uses InterSystems IRIS as the Vector Store
Implementing data query and analysis
Using Ollama LLM (as an alternative to OpenAI) with IRIS
Web application to find out diagnoses and suggest ICD-10 codes
Accessible Learning Assistant
Python application to demo RAG application using IRIS vector DB
SQL-Embedding simplifies creating and using embeddings in query
A Patient similarity comparison demo running on IRIS for Health
Play Vector Search with only one IRIS class file.
Iris python first experience django template
RAG Personal ChatGPT app leverages IRIS Vector Search func.
AI Studio to load and retrieve vector embeddings from your files
80 
1 
Filter
Filter