Vector Search stories
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.
The new system aims to cut infrastructure friction for firms shifting AI from pilots to always-on agents across cloud and on-premises setups.
Task completion for AI agents could rise sharply as Pinecone’s Nexus aims to cut latency, token use and human review in enterprise workflows.
Users can now monitor microservices and AI agents in a preconfigured stack, as OpenSearch 3.6 adds APM and tracing tools.
The acquisition gives customers a single platform for live transactions, analytics and vector search as database vendors chase AI workloads.
Oracle has woven new agentic AI tools into its core database and Fusion apps, promising secure, real-time automation on live enterprise data.
OpenSearch adds three new members to boost global open-source search and AI infrastructure as hybrid and vector search adoption accelerates.
Google Research says its TurboQuant method and related algorithms can slash memory use in large language models and vector search without hurting accuracy.
Atlassian rebuilt its search on OpenSearch and Kubernetes to power AI-ready, compliant, multi-tenant search for millions of global users.
Dell and NVIDIA deepen AI data platform to automate data prep, boost storage throughput and accelerate GPU performance for agentic workloads.
KX launches Nvidia-powered agentic AI blueprints to speed capital markets research and trading while tightening audit and governance controls.
Law firms can now pull reviewed T3 knowledge into Copilot, Claude and Gemini without moving data outside approved environments.
It aims to give AI agents persistent memory and queryable search in Postgres, replacing brittle markdown files with database-backed retrieval.
OpenSearch named a Leader and Fast Mover in GigaOm's 2025 vector database radar, underscoring its growing role in AI search infrastructure.
Lendi Group taps MongoDB to rebuild data platform and go fully AI-native by 2026, targeting faster rollout of mortgage and property services.
