Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
SiliconANGLE

Vast Data adds vector search and serverless functions to its scalable data platform

Vast Data Inc. today announced enhancements to its Vast Data Platform, enabling it to support structured and unstructured data in a single DataSpace with linear and secure scaling. The enhancements ...
TechCrunch

Google Cloud expands its database portfolio with new AI capabilities

Google is hosting a version of its Cloud Next conference in Tokyo this week, and it’s putting the focus squarely on tweaking its databases for AI workloads (because at this point in 2024, AI is the ...
dbta

TigerGraph Provides Comprehensive Solution with the Addition of Hybrid Search to its Graph Database

TigerGraph, the enterprise AI infrastructure and graph database leader, is releasing its next generation graph and vector hybrid search, delivering the industry's “most advanced” solution for ...
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 ...
VentureBeat

Microsoft Fabric's graph gambit: How LinkedIn tech aims to solve AI's context problem

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...
Forbes

Oracle AI Database Agentic AI: New Features Address Enterprise Data Pipeline Problem

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI ...