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Microsoft search relies on the microsoft 365 substrate to provide it with the basic data drawn from access office 365 applications to be able to deliver intelligent search results. There are no other projects in. Once the websocket is established, the client and substrate server api exchange messages through it in a repeatable protocol

Here is a high level flow diagram describing. Start using substrate in your project by running `npm i substrate` Put in place to provide a common set of services and storage, the substrate is most obvious as the common search provider for microsoft 365 and the framework used to host its.

Start from the configure page for your agents in microsoft copilot studio

When you add knowledge sources, the next screen shows all the supported knowledge sources Make each program do one thing well Expect the output of every program to become the input to another, as yet unknown, program Don't clutter output with extraneous information

Get your api key from the substrate dashboard, and set it as an environment variable To run the python examples, first install dependencies in the root directory First, navigate to an example. Last year, i wrote about the office 365 substrate, a little understood but critical component of how microsoft is developing their cloud services

That article followed a talk by.

The official sdk for the substrate api

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