Vector Search stories
Regulated firms can now keep AI retrieval inside MongoDB, cutting latency and compliance headaches as it rolls out new search tools.
Developers can now improve Chinese, Japanese and Korean search in AlloyDB without external tokenisers, cutting preprocessing overhead for PostgreSQL users.
The investment could speed up AI search and incident review for schools, factories and retailers using Verkada's cloud security platform.
Faster threat hunting and fewer manual database tasks are helping the cybersecurity firm cope with rising data volumes and alert fatigue.
Businesses could gain faster in-database AI queries as Google Cloud adds summarisation, sentiment analysis and new speed options to AlloyDB.
The release aims to ease a key hurdle for firms moving AI agents into production by unifying memory, retrieval and access across environments.
Banks under regulatory pressure may be able to modernise databases without moving sensitive records to public cloud infrastructure.
Customers should see faster AI search and training on AWS as NVIDIA makes GPU indexing the default and adds new EC2 G7 instances.
Enterprises can now run AI agents on live PostgreSQL data with governance controls, as EDB expands its Postgres AI platform.
The fresh cash lifts Supabase's valuation to USD $10.5 billion as AI-driven demand for its database platform continues to surge.
It may help regulated customers use archived data for AI without moving sensitive records into separate systems, reducing compliance risk.
Operators of large Valkey deployments could cut infrastructure costs as version 9.1 reduces per-key memory use by up to 10% and tightens access controls.
Production AI agents often fail on stale or fragmented data, and Redis is betting its new Iris platform can fix that runtime gap.
Better search design could cut AI costs and improve accuracy at work, as Glean says its remote MCP server outperformed rival tools.
The no-cost addition aims to help companies feed governed content into chatbots and AI agents without losing provenance or context.
Enterprises running AI agents can now cut infrastructure overhead, as MongoDB adds automated embeddings, memory and faster database performance.
Businesses can now run transactional, graph and vector workloads together as Google broadens Spanner for AI applications across clouds and on-premises.
The new system aims to cut complexity for enterprises as AI agents need live access to structured, unstructured and vector data.
Businesses using Glean can now switch to NVIDIA Nemotron 3 Ultra as cost pressure rises over how enterprises deploy generative AI at scale.
Law firms can now pull reviewed T3 knowledge into Copilot, Claude and Gemini without moving data outside approved environments.