Hello, i m working on a case with dataverse at the moment.
Important point before trying tips :
- RAG is not "query on a database" : dataverse current RAG will only use the 10 best element to calculate answer. So everytime you try something with more than 10 element, the result will be wrong.
- RAG is designed with GPT 4o (actual model) , so go to pick an answer in the middle of the database is not what it is build for :( .
With that in mind, what cool thing you must be able to achieve (since i achieve them this moring)
- Ask about all project of a manager (since under 10 of them)
- make an action to calculate complicate things and ask for sample : "Give me all project from manager "xxxxx" and then call the action "calculate something cool" for each line. : it work fine: i did it with a double task : power automate flow and then a free action to send mail with the result
What it will failed by design : everything about date, order : GPT4o don't know when we are, you have to tell hime with function Now() in a message.
About general instruction
- they are great to use with an autonomous trigger or deep reasoning (very great, use it often) But it's a just "a pre prompt" so don't esparate it will solve and thing probleme like an advanced robot.
Recommandation : use local prompt in your topics to adjust result, but ATM be aware that a prompt instruction is not a "code" instruction, genAI are here to generate, not to think deeplly ATM : use deep reasoning for this.
About Dataverse strange problem
- in a similar case i had a column with "project skills" : in a project i had "copilot studio, power platform", another on "power platform, copilot studio" : i ask : give me two project about power platform : dataverse say "no" only one (the one with power platform first) : why : because it's rag, not a query of unstructured data
Quick answer to solde the problem :
-temporary don't use dataverse directly but use the new hidden feature sharepoint in dataverse (just under the button) with an excel file of your data
It will create behind the scene a dataverse but the index will be azure ai search with unstructured skill + semantic search (for still 2 messages consumption and the dataverse storage you use for the little file)
it's very impressive and better.
Hope for the futur
- dataverse search will have a lot improvement :) be patient
- Dataverse as MCP server is comming and it's awesome
- GPT 4.1 is incoming very fast :)
- AI foundry integration is great for last resort solution but cost more.
Hope i help you :) Please click the answer button if it help, it s important
PS : if you speak french or a not afraid to read subbtilte, in my profil i have a youtube channel with a tutorial on how to use the new feature above :)