Computer Weekly

RAG AI: ‘Do it yourself,’ says NYC data scientist

Organisations should build their own generative artificial intelligence-based (GenAI-based) on retrieval augmented generation (RAG) with open source products such as DeepSeek and Llama. This is ...
Tech Xplore on MSN

Next-generation database reduces AI hallucinations and improves accuracy by 78%

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...
Business Wire

KIOXIA AiSAQ™ Software Advances AI RAG with New Version of Vector Search Library

TOKYO--(BUSINESS WIRE)--In an ongoing effort to improve the usability of AI vector database searches within retrieval-augmented generation (RAG) systems by optimizing the use of solid-state drives ...

KAIST: "Improving Data Processing Accuracy and Speed, Key to Overcoming Barriers to Enterprise AI Adoption"

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...
InfoWorld

How to improve the memory of AI agents

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
CRN

Infinidat Introduces RAG AI Data Services

‘We work with [customers’ file data] to accelerate the process of learning and help avoid hallucination. We are targeting on-prem data. So this is not designed to go search the web or anything. That’s ...
Visual Studio Magazine

Empowering AI Applications with Vector Search in SQL Server and Azure Cosmos DB

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...
dbta

Context Engineering for AI-Readiness: Enterprise RAG Architectures and Vector Databases

Today's enterprises need effective retrieval-augmented generation that extends existing data architectures without replacing current investments. As organizations face challenges in scaling RAG ...
SiliconANGLE

Memory for the machine: How vector databases power the next generation of AI assistants

When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...

MongoDB Delivers Accurate AI Retrieval Wherever Enterprise Data Lives

MongoDB, Inc. (NASDAQ: MDB) today announced new capabilities at MongoDB.local Bengaluru that address the two reasons enterprise AI projects routinely stall before production: retrieval that isn't ...
InfoWorld

Teradata adds Enterprise Vector Store to augment RAG

Teradata’s partnership with Nvidia will allow developers to fine-tune NeMo Retriever microservices with custom models to build document ingestion and RAG applications. Teradata is adding vector ...