Azure Cosmos DB NoSQL and OpenAI: Building Robust Applications with RAG pattern
Speaker: Sandeep Nair
In this session, we'll demonstrate how to leverage a vector database within a NoSQL database to store, index, and query embeddings alongside their corresponding original data. This integration offers a streamlined solution, eliminating the need for a separate pure vector database and reducing extra costs associated with data replication. By keeping the vector embeddings and original data together, we not only enhance data consistency but also enable seamless multi-modal data operations. This approach ensures superior scale and performance, allowing your applications to harness the full potential of both structured and unstructured data.
#azure #azurecosmosdb #ai
Links:
Vector store - Azure Cosmos DB for NoSQL - https://learn.microsoft.com/azure/cos...
Try Azure Cosmos DB Free: https://aka.ms/trycosmosdb
Try Azure Cosmos DB free with Azure AI Advantage: https://aka.ms/AzureAIAdvantage
Subscribe to Azure Cosmos DB on YouTube: / azurecosmosdb
Follow Azure Cosmos DB on X: / azurecosmosdb
Follow Azure Cosmos DB on LinkedIn: / azure-cosmos-db