Six data shifts that will shape enterprise AI in 2026

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...
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 ...
InfoWorld

Solving complex problems with vector databases

Vector databases unlock the insights buried in complex data including documents, videos, images, audio files, workflows, and system-generated alerts. Here’s how. The world of data is rapidly changing ...
TechCrunch

Pinecone’s vector database gets a new serverless architecture

For a long time, vector databases were a bit of a niche product, but because they are uniquely suited to provide context and long-term memory to large language models, everybody in the database space ...

KIOXIA AiSAQ Technology Integrated into Milvus Vector Database

First announced early this year, KIOXIA's AiSAQ open-source software technology increases vector scalability by storing all RAG database elements on SSDs. It provides tuning options to prioritize ...
InfoQ

Redis Improves Performance of Vector Semantic Search with Multi-Threaded Query Engine

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
InfoWorld

The importance of memory for AI

AI systems are the ultimate amnesiacs. Despite an impressive ability to generate text, code, music, and more, they’re limited by the prompt immediately in front of them. Ask ChatGPT about a recipe it ...
Computer Weekly

AWS details vector search for Amazon MemoryDB

The latest trends in software development from the Computer Weekly Application Developer Network. This week sees the move to general availability for vector search for Amazon MemoryDB. Amazon MemoryDB ...

AWS claims 90% vector cost savings with S3 Vectors GA, calls it 'complementary' - analysts split on what it means for vector databases

Despite the aggressive cost claims and dramatic scale improvements, AWS is positioning S3 Vectors as a complementary storage ...
Semiconductor Engineering

Optimizing Tester Memory Resources With Pooling Technology

The rapid evolution of semiconductor devices has amplified the demand for advanced automated test equipment (ATE) that can handle increasingly complex test scenarios for logic devices. ATE vector ...

KIOXIA AiSAQ(TM) Technology Integrated into Milvus Vector Database

With KIOXIA AiSAQ (TM) technology now integrated into Milvus, Kioxia and the open-source community are enabling a new class of scalable, cost-efficient vector search solutions designed to meet the ...