Join us to learn about building scalable RAG applications using Azure Cosmos DB for NoSQL! Learn foundational concepts, generate embeddings with Azure OpenAI, process, store, and search over document data in Azure Cosmos DB leveraging vector similarity search using DiskANN, a vector indexing method that enable fast and cost-efficient vector search at any scale!
Presented by James Codella, Product Manager for Azure Cosmos DB
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:
Quickstart - Build a RAG chatbot with Azure Cosmos DB NoSQL API - Azure https://aka.ms/CosmosDBRAGwithPython
AISamples - http://aka.ms/CosmosAISamples
Vector Search in Azure Cosmos DB for NoSQL (preview) - https://aka.ms/CosmosVectorSearch
Try Azure Cosmos DB for Free, no credit card required - https://aka.ms/trycosmosdb
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