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発見し、つながり、成長する

Microsoft Reactor

Microsoft Reactor に参加し、スタートアップ企業や開発者とライブで関わる

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RAG with Data Access Control

11 9月, 2024 | 8:00 午後 - 9:00 午後 (UTC) 協定世界時

形式:
ライブストリーム

トピック: インテリジェントなアプリケーション

言語: 英語

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.

Presented by Matt Gotteiner, Product Manager for Azure AI Search, and Pamela Fox, Developer Advocate for Python

** Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack **

前提条件

Read the official rules and join the hack at https://aka.ms/raghack. No Purchase Necessary. Must be 18+ to enter. Contest ends 9/16/24.
Want more hands-on RAG training? Visit the Reactor series home page to see all the RAGHack 2024 sessions!

講演者