Google PM open-sources Always On Memory Agent, ditching vector databases for LLM-driven persistent memory

Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve ...
dbta

MariaDB Enterprise Platform Now Supports Vector Search for AI Application Development

MariaDB Enterprise Platform 2025 introduces new native vector search capabilities within the core database engine that are 100% open source. Vector search enables searching unstructured data by value ...
VentureBeat

Abstract or die: Why AI enterprises can't afford rigid vector stacks

Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today's semantic search, recommendation engines, anti-fraud ...
InfoQ

Yearly MariaDB LTS Release Integrates Vector Search

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
Security Boulevard

Building a RAG system on Databricks with your unstructured data using Tonic Textual

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.