A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.
Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
Kioxia America, Inc. today announced that its AiSAQ™ approximate nearest neighbor search (ANNS) software technology has been integrated into Milvus (starting with version 2.6.4), among the world’s ...
CrowdStrike's 2025 data shows attackers breach AI systems in 51 seconds. Field CISOs reveal how inference security platforms ...
StorageChain, a company building AI-ready decentralized infrastructure for the enterprise, today announced the launch of StorageChain Core and StorageChain Intelligence. The two products combine ...
MongoDB has cemented its status as a global leader in the database market, evolving well beyond its roots as a popular NoSQL ...
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 ...
Tech Xplore on MSN
'Rosetta stone' for database inputs reveals serious security issue
The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...
Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it ...
Nvidia is rated a strong buy, driven by its dominant AI infrastructure position and accelerating GPU architectures amid the end of Moore's Law. NVDA's revenue momentum is underpinned by a $0.5 ...
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