Building RAG apps with Azure Cosmos DB for MongoDB

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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



#MicrosoftReactor #RAGHack #AzureCosmosDB

Docs and more links:

[eventID:23329]
  1. Azure Cosmos DB
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