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 ...

Vector database startup Pinecone Systems Inc. today announced a new, high-performance deployment option for customers that need to support the most demanding enterprise use cases. It’s called ...

Several Vector Capital limited partners such as Adams Street Partners, J.P. Morgan Asset Management, the External Investing Group at Goldman Sachs Asset Management, Angeles Investments, Lexington ...

Abstract: The vector database stores data as high-dimensional feature vectors. Some recently proposed attack techniques enable an adversary to launch feature vector inversion (FVI) attacks against ...

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

The hyper-intensified process delivers significant increases in AAV yield and full capsid percentage through a novel adherent, perfusion-based manufacturing approach PHILADELPHIA--(BUSINESS ...

Setting up a memory database integrated with an MCP (Model Context Protocol) server can significantly enhance how you manage and retrieve data. By using OpenAI’s file store and vector database ...

Wikidata has built the semantic web backbone supporting knowledge cards in popular engines. Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and ...

Vector databases are becoming crucial for Artificial Intelligence (AI) applications, especially with the rise of Generative AI and RAG. These databases store and process context-rich data, enabling ...

DataStax's CTO discusses how Retrieval Augmented Generation (RAG) enhances AI reliability, reduces hallucinations, and transforms information retrieval. TechRepublic ...