Hosted search and discovery platform for enterprise Algolia Inc. today launched NeuralSearch, a vector and keyword search engine using a single application programming interface that provides end-to- ...

These top image and clip art sites provide an extensive supply of moderate- to high-quality visuals for cost-conscious ...

This document evaluates MongoDB Vector Search against the author’s own Vector Database Evaluation Criteria. Introduction What stands out in MongoDB’s new offering is its name, Atlas Vector Search.

Valorem Reply led the development of the AI image recognition pipeline, using Azure AI to train and host models for image ...

When designing search systems, the decision to use keyword-based search, vector-based search, or a hybrid approach can significantly impact performance, relevance, and user satisfaction. Each ...

Let’s dive in here to start building the basis of our tool. Understanding Vector Databases. If you have thousands of articles and want to find the closest semantic similarity for your target ...

Semantic Search: By comparing vector embeddings, these databases retrieve content that is contextually similar. For example, they can identify articles related to a specific topic, ...

As artificial intelligence reshapes marketing technology, vector search has emerged as a critical capability for 2025 data strategies. For marketing leaders, understanding how this technology ...

Q&A. Empowering AI Applications with Vector Search in SQL Server and Azure Cosmos DB. By David Ramel; 05/27/2025; As developers look to harness the power of AI in their applications, one of the most ...