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LEARN, CONNECT, BUILD

Microsoft Reactor

Neem deel aan Microsoft Reactor en neem live contact op met ontwikkelaars

Klaar om aan de slag te gaan met AI en de nieuwste technologieën? Microsoft Reactor biedt evenementen, training en communitybronnen om ontwikkelaars, ondernemers en startups te helpen bouwen op AI-technologie en meer. Kom kijken.

Geri dön

Data Access Control for AI RAG Apps on Azure

17 Temmuz, 2024 | 7:00 ÖS - 8:00 ÖS (UTC) Eşgüdümlü Evrensel Saat

  • Biçimlendir:
  • alt##LivestreamCanlı akış

Konu: Yapay Zeka Güvenliği ve Veri İdaresi

Dil: İngilizce

If you're trying to get an LLM to accurately answer questions about your own documents, you need RAG: Retrieval Augmented Generation. With a RAG approach, the app first searches a knowledge base for relevant matches to a user's query, then sends the results to the LLM along with the original question. What if you have documents that should only be accessed by a subset of your users, like a group or a single user? Then you need data access controls to ensure that document visibility is respected during the RAG flow. In this session, we'll show an approach using Azure AI Search with data access controls to only search the documents that can be seen by the logged in user. We'll also demonstrate a feature for user-uploaded documents that uses data access controls along with Azure Data Lake Storage Gen2.

Part of our Reactor series on Securing AI Apps on Azure!

Konuşmacılar

  • Matt Gotteiner

    • Senior Program Manager

    Microsoft

  • Pamela Fox

    • Principal Cloud Advocate in Python

    Microsoft

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