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

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private ...
InfoQ

Redis 8 Targets AI Applications with New Data Type for Vector Similarity

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
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 ...
VentureBeat

The vector database is a new kind of database for the AI era

Companies across every industry increasingly understand that making data-driven decisions is a necessity to compete now, in the next five years, in the next 20 and beyond. Data growth — unstructured ...
Crypto Briefing

Ash Ashutosh: The shift to agent-centric systems is revealing flaws in data retrieval, AI agents struggle with task completion rates below 50%, and vector databases are key to ...

For years systems like databases and search were designed around human interaction… but with the rise of agents that model starts to break down. — Ash Ashutosh The transition to agent-centric systems ...
Computer Weekly

Storage technology explained: Vector databases at the core of AI

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.