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Inquiry About Copilot Studio Agent Accessing SharePoint Data and Use of Vector Databases

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Posted on by CU08122003-1

Hello,

I am using Copilot Studio and would like to understand how the agent accesses my data in SharePoint. The documentation mentions that "GraphSearch" is utilized for this purpose.

Could you kindly clarify the following:

Data Access Method:
- Is a vector database created where the data from SharePoint is stored, or does the agent directly access the SharePoint content without intermediate storage in a vector database?
Functionality of GraphSearch:
- What exactly is the "GraphSearch" function?
- How does it work in detail?
- Does it use semantic search, or is it based on keyword search?

Thank you in advance for your assistance, and I look forward to your response.

Best regards,

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Artur Stepniak 1,252 on at

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Inquiry About Copilot Studio Agent Accessing SharePoint Data and Use of Vector Databases

Hello,

1. It's not possible for GPT model to directly search the content. Vector representation of the data must be created first for GPT to perform a search. I don't know how it's designed from architecture perspective - I assume that it's stored in a vector database somewhere.

2. GraphSearch function is a feature which's used by GPT model to communicate with the Graph API to retrieve various information based on the user prompt. I don't know how it works in detail and MS won't share it I guess, because it would show others how to design it. I assume that it performs an API call via Graph API to retrieve the data first and then it uses RAG technique to generate a response - that's an obvious approach in that case.

In case of any other questions, let me know. If the answer helped you, mark it, so that others can benefit from it.

Best regards,

Artur Stepniak

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