Intro to RAG: Empowering your Custom Copilot with your Data Using Azure AI Search & Teams Toolkit

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Join Ayca and Tomomi as they unveil the power of Retrieval-Augmented Generation (RAG) using Python and Teams Toolkit. This video shows how to integrate your data with Azure AI Search to empower a custom Copilot, enhancing AI responses with access to a vast array of external data sources. Through Tomomi’s vivid doodles and Ayca’s practical demo with Teams Toolkit, learn how these technologies work together to create an AI that not only understands but also intelligently interacts with your data. Perfect for developers and tech enthusiasts, this guide will help you build an AI assistant that provides insightful, data-driven responses, custom-tailored to your needs.

🚀Learn more:

  1. Microsoft 365 Developer
  2. #Python
  3. #phython project
  4. #Teams Toolkit
  5. #Azure AI Search
  6. #custom Copilot
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Комментарии
Автор

We're setting up a GitHub repo with all readmes and code samples right now so please stay tuned! Thank you

girlie_mac
Автор

Ayca I need your help! I have gotten chefbot sample working in teams, working in VScode and .js/.ts. However I am not able to make RAG work with my own data. I created a vector based index.json with embeddings separately and inserted it however it does not work.

amaanqureshi
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Can you please share the link to demo project?

hozwjvs
visit shbcf.ru