Some improvements to Vector search
V1 of Incidentify has some limitation in it must bring down all Incidents to do the vector search in memory before using this data with ChatGPT to produce a result. It currently limits the query to the last 30 days, but in reality we might want to query all incidents as this particular incident could only happen once per year (for example). In order to resolve this issue, I needed a way to store the vector as a string so that I could create a JQL query to retrieve a subset of data, which I can then load in memory and do the vector similarity search. This is proving to be a little more difficult that first anticipated. I am trying to use chatGPT and claude.io to help build the algorithms... But them make stuff up. not body has tested this code they given, and inevitably it doesn't work. Claude is definitely making up more stuff, and further from the truth.
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