SQL Server 2025 gives developers new ways to work with text, JSON, real-time data changes and AI-ready vector data. Microsoft MVP Leonard Lobel explains why he considers it the most significant SQL ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

Onehouse Inc., a company that sells a data lakehouse based on Apache Hudi as a managed service, today said it has launched a vector embedding generator to automate embedding pipelines as a part of its ...

Amazon DynamoDB recently introduced native vector search, allowing developers to store embeddings alongside application data ...

Dutch artificial intelligence database startup Weaviate B.V. is looking to streamline the data vectorization process with a new feature that automatically transforms unstructured information into ...

Data truly isn’t just about numbers or spreadsheets anymore. With artificial intelligence (AI) and machine learning (ML) at the forefront of innovation, data is taking on new forms and uses, ...

Vector embeddings are approximation engines that are excellent at finding semantically similar content, but systematically weak at distinguishing specific entities ...

Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...

Companies across every industry increasingly understand that making data-driven decisions is a necessity to compete now, in the next five years, in the next 20 and beyond. Data growth — unstructured ...