ScyllaDB today announced the general availability of its new Vector Search capability, which is integrated into ScyllaDB X Cloud. This high-performance vector search supports the industry’s largest ...

ScyllaDB Vector Search is built on ScyllaDB’s shard-per-core architecture with a Rust-based extension that leverages the USearch approximate-nearest-neighbor (ANN) search library. The architecture ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Kioxia America, Inc. today announced that its AiSAQ™ approximate nearest neighbor search (ANNS) software technology has been integrated into Milvus (starting with ...

TL;DR: KIOXIA's open-source AiSAQ technology reduces DRAM needs by offloading vectorized AI data to SSDs, enabling scalable, low-latency Retrieval Augmented Generation (RAG) pipelines. Its integration ...

According to @godofprompt, after reverse-engineering ChatGPT's memory architecture, it was revealed that the platform does not use sophisticated RAG (Retrieval-Augmented Generation) systems or vector ...

AI needs data, AI needs inter (and intra) data repository contextual linking and AI needs all of that with a whole menu of search types spanning contextual search, semantic search, SQL search and now ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

Hello! I'm Mel, an illustrator + artist with a love of sketching on location. I share artist vlogs, sketching adventures, sketchbook tours and process videos here. Chevron payments make up nearly 24% ...

On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models. Called the Wikidata Embedding Project, the system applies a ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.