John Aziz
GEMINDZ
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!
5 September, 2024 | 5:00 PM - 6:00 PM (UTC) Coordinated Universal Time
Topic: Core AI
Language: English
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!
Speakers
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Format: Livestream
Topic: Core AI
Language: English
Format: Livestream
Topic: Core AI
Language: English
Format: Livestream
Topic: Core AI
Language: English
This event is part of the RAGHack 2024 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