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

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

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

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

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 ...

Unstructured today announced a partnership with Teradata to deliver data ingestion and processing as a native capability inside Teradata Enterprise Vector Store. Expected to be available to eligible ...

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