John Aziz
GEMINDZ
學習、聯繫、建置
準備好開始使用 AI 和最新技術嗎? Microsoft Reactor 提供活動、訓練和社群資源,協助開發人員、企業家和初創公司建置 AI 技術等等。 加入我們!
學習、聯繫、建置
準備好開始使用 AI 和最新技術嗎? Microsoft Reactor 提供活動、訓練和社群資源,協助開發人員、企業家和初創公司建置 AI 技術等等。 加入我們!
5 9月, 2024 | 5:00 下午 - 6:00 下午 (UTC) 國際標準時間
主題: 核心 AI
語言: 英文
RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. Learn how to build a RAG app using vCore-based Azure Cosmos DB for MongoDB and its new vector search capabilities. We'll walk through a Python web app that uses the LangChain package to orchestrate a RAG flow in order to answer questions about a restaurant's data.
Presented by Khelan Modi, Product Manager on Azure Cosmos DB team, and John Aziz, Software Developer and Microsoft MVP
** Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack **
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!
演講者
此活動屬於 RAGHack 2024 Series.
按一下這裡以 造訪系列頁面 您可以在其中查看所有即將推出和隨選活動。