Agents need vector search more than RAG ever did

Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...
InfoQ

QCon London 2026: The Hidden Power of Boring Problems

At QCon London 2026, Yinka Omole, Lead Software Engineer at Personio, presented a session exploring a recurring dilemma engineers face, whether to spend time mastering the newest technologies and ...
InfoWorld

Why Postgres® has won as the de facto database: Today and for the agentic future

The 13% succeeding with AI platforms share one move: unifying their data on an extensible Postgres® foundation.

Google Gemini Embedding 2 Supports Text, Images, Audio, PDFs & Short Videos

Google Gemini Embedding 2 unifies text, images, audio, PDFs, and video; it supports 3,072-dimension vectors, simplifying retrieval stacks.

Google's Gemini Embedding 2 arrives with native multimodal support to cut costs and speed up your enterprise data stack

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Gemini Embedding 2 Supports Search Across 100+ Languages

Gemini Embedding 2 ships cross-modality retrieval with Matryoshka vectors, offering flexible dimensions for cost and accuracy tradeoffs.
InfoWorld

MariaDB taps GridGain to keep pace with AI-driven data demands

The company plans to integrate GridGain’s in-memory computing tech to deliver sub-millisecond performance for operational, transactional, and AI applications.
WinBuzzer

Gemini Embedding 2 Unifies Text, Images, Video in One Model

Google has launched Gemini Embedding 2, its first natively multimodal embedding model supporting text, images, video, audio, ...