Copilot studio supports vectorized indexes using integrated vectorization Enhance your workflows with powerful ai bots and seamless microsoft 365 copilot integrations. Prepare your data and choose an embedded model, then use import and vectorize data in azure ai search to create vector indexes.
In this post, we'll focus on building copilot studio agents with azure ai search as a knowledge source to facilitate rag, including mapped citations to an original data source such as a custom system or application Build ai agents with microsoft copilot studio I'm going to build a corporate benefits assistant for the purposes of this guide.
The session emphasized three distinct product tiers — copilot studio lite, the full copilot studio experience, and deep integration with azure ai foundry — each aimed at different maker personas and enterprise needs Key themes from the roadmap Broad adoption and scale of copilot tools across organizations. A copilot agent is an ai bot that lives inside of the apps that you use every day
Learn how copilot agents can automate actions on your behalf. Search is fast and intuitive Filters help narrow results and show the most relevant content. Configure agents in copilot studio kit to enable test automation, conversation kpis, and file synchronization for custom agents.
Use our kit to prepare your tenant for ai agents and to enable your users to create and use agents See common business scenarios where agents can be leveraged.
