Vector search with Azure Cosmos DB  In Part 1 and Part 2 of this series, we explored vector search with Azure Cosmos DB and best practices for scaling it to 1 billion vector datasets while maintaining low query latency. In Part 3, we saw how we can create efficient sharded DiskANN indices for multi-tenant apps.  In Part 4, we’ll look at the eff...

Vector Search with Azure Cosmos DB Azure Cosmos DB NoSQL features advanced vector indexing and search capabilities powered by DiskANN, a suite of highly scalable, accurate, and cost-effective approximate nearest neighbor (ANN) algorithms for low-latency vector search at any scale. Azure Cosmos DB features key capabilities important for building...