A comprehensive new review argues that database architecture, not just algorithms, determines how successfully entity ...

A mathematical mechanism enables AI models to process language at scale, undergirding the current AI revolution. Our ...

Scientists at Nanyang Technological University, Singapore (NTU Singapore) have developed an AI-powered database and a ...

Elastic is making a blunt pitch to AI developers: pure vector search is not enough for enterprise retrieval. In a hands-on session at the AI ...

Bringing AI to data rather than porting data into LLMs is proving to be a safer, more cost efficient and accurate way of ...

According to DeepLearning.AI, a free course with Qdrant and Dylan Couzon teaches building an offline AI assistant that remembers item locations.

When people think about what ChatGPT or other large language models are doing behind the scenes, it's common to reach for the ...

AMSTERDAM – Weaviate has expanded the scope of its free cloud offering beyond managed vector storage, giving developers access to a free forever Weaviate Cloud database alongside hosted embeddings, ...

Google has introduced EmbeddingGemma 2, an advanced multimodal embedding model designed to optimize device performance. This model effectively transforms complex data, such as text, images, and audio, ...

Google DeepMind has released EmbeddingGemma 2, a new open-weight artificial intelligence model designed to understand and connect text, code, images, video and audio within a single embedding space. T ...

Google launches EmbeddingGemma 2, which matches EmbeddingGemma's strong multilingual text performance while delivering a ...

According to DeepLearningAI, a free course teaches building an offline, on-device memory assistant using Qdrant vector search, as reported by DeepLearning.AI.