I recently had to refresh my knowledge of the HealthShare EMPI module and since I've been tinkering with IRIS's vector storage and search functionalities for a while I just had to add 1 + 1.

For those of you who are not familiar with EMPI functionality here's a little introduction:

Enterprise Master Patient Index

In general, all EMPIs work in a very similar way, ingesting information, normalizing it and comparing it with the data already present in their system.

I have an IRIS persistent class with a %Stream property whose value is a JSON object. I'd like to use a SQL trigger to pull some value out of the JSON and persist it in another property, for easy querying and indexing. See below for a minimal example:

Class PAB.DebugStream Extends %Persistent
{

Property Contents As %Stream.GlobalCharacter;
Property msg As %String;
ClassMethod InsertRow()
{
    set stream = ##class(%Stream.GlobalCharacter).%New()
    $$$ThrowOnError(stream.Write({"msg":"hello world!"}))
    &sql(insert into PAB.

Hi Guys,

I'm getting the below error when trying to train my Model

This is the table I created my model from

Thanks

I am struggling with returning a SQL Query Result that may have multiple rows that can be searched.

 set query = "SELECT Facility FROM FROM osuwmc_EnterpriseDirDB.RelationshipMedCtrID WHERE OSUmedcenterID = ?"
 SET rset = ##class(%SQL.Statement).%New()
 SET qStatus = rset.%Prepare(query)
 SET rset = rset.%Execute($Get(ID))
 do rset.%Display()

I need to take the values that are returned and say search them for a single value. How would I go about returning the EnsLib.SQL.Snapshot into a Array or List for it to be searchable.

I have a general question about HealthShare Provider Directory using Code Tables on disk vs Cache SQL Tables. Why is Provider Directory not using the Cache SQL Tables within the IRIS platform?

Hey Developers,

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I combined @Rodolfo Pscheidt https://github.com/RodolfoPscheidtJr/ollama-ai-iris with some files from @Guillaume Rongier https://openexchange.intersystems.com/package/iris-rag-demo.

My own project is https://github.com/oliverwilms/ollama-ai-iris

I can run load_data.py and it connects to IRIS (same container).

When I try to run query_data.py https://github.com/oliverwilms/ollama-ai-iris/blob/main/query_data.py , it cannot connect to ollama:

ConnectionError: Failed to connect to Ollama. Please check that Ollama is downloaded, running and accessible.

I wonder if I need to add in query_data.