Cost-Efficient, Low-Latency Vector Search
First page

Paper summary
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 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.