Vector Search stories
The new platform aims to let businesses deploy AI agents on sensitive records without losing control over access, context or governance.
Enterprises struggling to move AI pilots into live systems now have a single layer for memory, governance and execution across models and clouds.
Tender-bidding businesses could see faster results as Lucius AI says its move to AlloyDB cut semantic search latency from 1.14 seconds to 24 milliseconds.
Hundreds of educators could spend less time on paperwork as the new system automates family updates and other childcare admin tasks.
Businesses can now run OpenAI's latest frontier model on AWS without managing infrastructure, as Bedrock gains access to GPT-6 Astra.
Enterprises running PostgreSQL on servers can now automate failover, backups and scaling on-premises as Google broadens AlloyDB Omni support.
Databricks has introduced an AI retrieval model that adjusts search depth to query complexity, aiming to reduce latency on simpler requests.
It could cut the cost and delay of bringing AI agents to regulated data by letting firms use live SQL systems without migration.
The preview could let AI search systems handle far larger datasets with p95 latency of 51 milliseconds or less at more than 10 billion vectors.
Businesses will be able to search charts, tables and images in Box content using Gemini Multimodal Embeddings 2, reducing missed context in files.
Developers will be able to build AI agents on live production data without separate vector stores or synchronisation overhead.
Developers can now query live Atlas data from ChatGPT, Claude and coding agents, cutting setup work and reducing stale AI responses.
Search on WordPress sites could get sharper results as WP Engine widens its semantic tool beyond hosting customers, aiming to lift conversions.
Database teams will compare notes on sovereignty, resilience and compliance as the conference returns to Europe this year.
Customers can now build AI apps with live web data and vector search in one AWS stack, reducing database sprawl and latency.
Customer enquiries are now being answered up to 35% faster as Rinnai Australia uses Oracle AI to ease pressure on its call centre.
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.
Access to research tools and fresh funding will help Convert Technologies expand tracking systems for defence customers operating beyond GPS coverage.
Enterprise AI teams can now search internal files by meaning and restrict agent access at a finer level across workspaces.