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Building RAG apps with Azure Cosmos DB for MongoDB
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 ** 📌 Check out the RAGHack 2024 series here! https://aka.ms/RAGHack2024 #MicrosoftReactor #RAGHack #AzureCosmosDB Docs and more links: Azure Cosmos DB for MongoDB vCore Free tier - https://aka.ms/tryvcore​​ Demo code - https://aka.ms/vcorelangchain​​ ​​Additional samples, docs and more - https://aka.ms/CosmosAISamples Try Azure Cosmos DB for Free, no credit card required - https://aka.ms/trycosmosdb [eventID:23329]

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Microsoft Reactor

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