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Data Access Control for AI RAG Apps on Azure

17 七月, 2024 | 7:00 下午 - 8:00 下午 (UTC) Coordinated Universal Time

形式:
Livestream

主题: AI Security and Data Governance

语言: English

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!

主讲人

Matt Gotteiner
- Senior Program Manager
Microsoft
Pamela Fox
- Principal Cloud Advocate in Python
Microsoft

Microsoft Reactor

Join Microsoft Reactor and engage with developers live

Microsoft Reactor

Join Microsoft Reactor and engage with developers live

Data Access Control for AI RAG Apps on Azure

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