发现、联系、增长

Microsoft Reactor

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是否准备好开始使用 AI？  Microsoft Reactor 提供活动、培训和社区资源，以帮助初创公司、企业家和开发人员利用 AI 技术打造新业务。快加入我们吧！

发现、联系、增长

Microsoft Reactor

加入 Microsoft Reactor 并实时与初创公司和开发人员互动

是否准备好开始使用 AI？  Microsoft Reactor 提供活动、培训和社区资源，以帮助初创公司、企业家和开发人员利用 AI 技术打造新业务。快加入我们吧！

RAG with Data Access Control

11 九月, 2024 | 8:00 下午 - 9:00 下午 (UTC) 协调世界时

形式:
直播

主题: 智能应用程序

语言: 英语

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 **

先决条件

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!

主讲人