The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...

The page is dead. Long live the stack. Here's how vector databases, embeddings, and Reciprocal Rank Fusion have changed the ...

Bring AI to your database! Learn how to build smarter apps with vector search in SQL Server & Azure Cosmos DB -- no extra AI ...

Find more information on the Altmetric Attention Score and how the score is calculated. An intuitive and generally applicable analysis method, termed similarity−potency tree (SPT), is introduced to ...

A public preview of SQL Server 2025 adds new vector capabilities already found in rival databases, along with JSON support ...

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...

The aggregated similarity measure is a weighted aggregation of the SimRank++ similarity on the user-item bipartite graph and the cosine similarity of the Linked Open Data (LOD)-based user profiles ...

It’s an experimental new feature that leverages the most advanced GPUs from Nvidia Corp. to beef up search performance with large-scale vector workloads, while simultaneously reducing index ...

The engineers from Azure PaaS Developer team will be publishing the code samples and sample scripts to this repository. This repository primarily contains the sample code for How-To scenarios, proof ...