Vector Search stories
Customers can now keep document search and embedding work inside BigQuery, as Google rolls out AI search tools to cut extra pipelines and indexes.
Businesses can now keep AI retrieval and live app data in one place, as the service cuts data copying and extra sync pipelines.
Up to 4.16 times faster vector ingestion could help OpenSearch customers cut AI search latency and reduce storage overhead.
The retailer said the overhaul cut infrastructure maintenance by 50% and improved product recommendations, ratings and Gift Finder responses.
The ranking may strengthen Cloudera's pitch to regulated enterprises struggling to move AI pilots into production at scale.
Fashion retailers can now curb costly AI shopping errors as Algolia adds guardrails tied to live stock, prices and business rules.
The deal could let enterprises serve more AI models on fewer GPUs by shifting cache data into DRAM, SSDs and remote storage.
Throughput for AI vector searches can rise fourfold on AlloyDB, as Google's preview aims to cut latency without changing pgvector code.
Metric views and a broader knowledge graph aim to keep AI tools, dashboards and business users aligned on trusted data definitions.
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.
Businesses can now run transactional, graph and vector workloads together as Google broadens Spanner for AI applications across clouds and on-premises.
Regulated firms can now keep AI retrieval inside MongoDB, cutting latency and compliance headaches as it rolls out new search tools.
The new system aims to cut complexity for enterprises as AI agents need live access to structured, unstructured and vector data.