Matt Gotteiner
Microsoft
LEARN, CONNECT, BUILD
Ready to get started with AI and the latest technologies? Microsoft Reactor provides events, training, and community resources to help developers, entrepreneurs and startups build on AI technology and more. Join us!
LEARN, CONNECT, BUILD
Ready to get started with AI and the latest technologies? Microsoft Reactor provides events, training, and community resources to help developers, entrepreneurs and startups build on AI technology and more. Join us!
17 July, 2024 | 7:00 PM - 8:00 PM (UTC) Coordinated Universal Time
Topic: AI Security and Data Governance
Language: 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!
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Format: Livestream
Topic: Security
Language: English
Format: Livestream
Topic: AI Security and Data Governance
Language: English
Format: Livestream
Topic: Security
Language: English
This event is part of the Securing AI Apps on Azure Series.
Click here to visit the Series Page where you could see all the upcoming and on-demand events.
For questions please contact us at reactor@microsoft.com