Vector Search stories
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.
Google has launched Gemini Embedding 2, a multimodal AI model that unifies search and analysis across text, images, video, audio and documents.
Teradata upgrades Enterprise Vector Store with multimodal AI and agents to unify unstructured search and workflow orchestration at scale.
MariaDB moves to buy in-memory specialist GridGain in a bid to deliver sub-millisecond latency for agentic AI and real-time workloads.
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.
Elastic's Ken Exner insists “software is not dead” as the firm touts AI-powered search, context engineering and new agent-building tools.
