Software slingers from Redis to Teradata are bolting on smarts to stay relevant in GenAI era About two years ago, popular ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

As enterprises rush to deploy RAG systems, attack surfaces are evolving rapidly, and security professionals are rightfully racing to keep up. Vector and embedding weaknesses aren’t theoretical risks; ...

Inspired by sorted sets, one of Redis' core data types known for handling ordered collections, vector sets offer a native way to store and query high-dimensional embeddings, with a focus on vector ...

Learn how vector databases enable advanced AI applications, semantic search, and efficient data retrieval for unstructured datasets.

Features real-time file watching, dynamic instrumentation, and security scanning. A powerful CLI tool using vector embeddings and LLMs to help developers understand codebases through natural language.