Video: Build Agents With SharePoint List Knowledge In Copilot Studio
- Posted by - Matthew Devaney
- on -
- 4 Comments
In today’s video, we are going to use the all-new Copilot Studio build an agent that’s grounded in SharePoint list knowledge.
We’ll be able to ask our agent question using natural language, and then the agent will send us the results. And what I love about these new agents is they give super accurate results, even when working with a really large lists. We are also going to make our agent generate spreadsheets and chat over email.
I can’t wait to show you. Let’s get started.
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Thanks Matthew!
When I tried to search, the Agent only found 10, when I know there are about 200 with the criteria I searched for in the SharePoint list. After correcting the Agent, it says “Thank you for the correction! You are absolutely right, and I apologize for the inaccurate count. My search tool returned only a partial set of results — it surfaced 10 records”
Do you know why my search is so limited?
How are you getting accurate results from such a large list? Is it a setting somewhere?
Thank you!
Bryan,
Are you using the NEW Copilot Studio experience? New Copilot Studio is super-accurate whereas classic Copilot Studio frequently truncates the reponse.
Hi Michael. This is an excellent video. Do you publish the artifacts that go with your videos – in this case the SharePoint list of cars – so that we can follow the video step-by-step? Thanks! Fraser
Fraser,
Yes, I publish all artifacts for my videos in a public repo. Here’s the link to the Car Inventory.csv for this tutorial. Follow and star the repo for updates:
https://github.com/matthewdevaney/Copilot-Studio-Tutorials/tree/main/SharePoint%20List%20Knowledge