This AI Paper from Microsoft Introduces a DiskANN-Integrated System: A Cost-Effective and Low-Latency Vector Search Using Azure Cosmos DB

This AI Paper from Microsoft Introduces a DiskANN-Integrated System: A Cost-Effective and Low-Latency Vector Search Using Azure Cosmos DB

The ability to search high-dimensional vector representations has become a core requirement for modern data systems. These vector representations, generated by deep learning models, encapsulate data’s semantic and contextual meanings. This enables systems to retrieve results not based on exact matches, but on relevance and similarity. Such semantic capabilities are essential in large-scale applications such as web search, AI-powered assistants, …