For each vector field, Azure AI Search constructs an internal vector index using the algorithm parameters specified on the field. Because Azure AI Search imposes quotas on vector index size, you ...

Google published a research paper describing how it extracts “services offered” information from local business sites to add it to business profiles in Google Maps and Search. The algorithm describes ...

Vector indexing enables semantic search over diverse corpora and has become an important interface to databases for both users and AI agents. Efficient vector search requires deep optimizations in ...

Welcome to the artifact repository of OSDI'25 accepted paper: Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD! This repository contains the ...

Oracle Corp. today is rolling out the latest version of its Exadata database-optimized computing platform, claiming 55% better performance on vector searches used in artificial intelligence model ...

Approximate nearest neighbor search has become a core component of AI systems on cloud and edge, spanning extremes of scales and form factors. We overview the DiskANN library of graph-based indices ...

Real-time database provider Aerospike has updated its Aerospike Vector Search database extension for powering generative AI applications. The update offers new indexing and storage capabilities for ...

DataStax, an IBM company, provides integrated AI dev platforms that let you harness data in your app without building a complex tool stack.

Abstract: This article presents an improved duty ratio-based direct torque control (DDTC) algorithm for open-end winding induction motor (OEWIM) sensorless drives. An artificial neural network (ANN) ...