Application Programming Interface (API) is a set of subroutine definitions, protocols, and tools for building application software. In general terms, it is a set of clearly defined methods of communication between various software components.
Hello all,
I have a EnsLib.HTTP.GenericMessage inbound from a webhook with a GC stream.
My router is defined as the following:
If you have ever dug through a large IRIS namespace looking for where a particular string, method call, or pattern was used, you know the pain: there was no built-in way to do a grep-style search across your server-side ObjectScript code from VS Code — at least not without jumping through some hoops.
That is what ObjectScript Search fixes.
Try it today with a simple install from the VS Code Marketplace. If you don't like it, uninstalling is just as easy. But I think you will like it — it is a huge quality-of-life improvement for anyone doing ObjectScript development in VS Code.
How to set up RAG for OpenAI agents using IRIS Vector DB in Python
In this article, I’ll walk you through an example of using InterSystems IRIS Vector DB to store embeddings and integrate them with an OpenAI agent.
To demonstrate this, we’ll create an OpenAI agent with knowledge of InterSystems technology. We’ll achieve this by storing embeddings of some InterSystems documentation in IRIS and then using IRIS vector search to retrieve relevant content—enabling a Retrieval-Augmented Generation (RAG) workflow.
Note: Section 1 details how process text into embeddings.