Cost-Effective, Low Latency Vector Search
It looks like a pretty good read for developers looking to scale vector searches.
Proposal: Integrates DiskANN (a vector indexing library) inside of Azure Cosmos DB NoSQL (an operational dataset) that uses a single vector index per partition stored in existing index trees.
Benefit: "It supports < 20ms query latency over an index spanning 10 million of vectors, has stable recall over updates, and offers nearly 15× and 41× lower query cost compared to Zilliz and Pinecone serverless enterprise products."
It can further scale to billions of vectors with automatic partitioning.