Gemini Embedding 2 ships cross-modality retrieval with Matryoshka vectors, offering flexible dimensions for cost and accuracy tradeoffs.
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 has launched Gemini Embedding 2, its first natively multimodal embedding model supporting text, images, video, audio, ...
Google Gemini Embedding 2 unifies text, images, audio, PDFs, and video; it supports 3,072-dimension vectors, simplifying retrieval stacks.
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 ...
Leading enterprises including BlueCloud and Sigma Computing will rely on Snowflake Postgres to reduce data silos and complex data pipelines for AI and analytics use cases Snowflake Horizon Catalog ...
US Immigration and Customs Enforcement is asking companies to provide information about “commercial Big Data and Ad Tech” products that would “directly support investigations activities,” according to ...
SAN FRANCISCO--(BUSINESS WIRE)--ClickHouse, Inc., the company behind the world’s fastest real-time analytical database, announced a high-performance, enterprise-grade Postgres service natively ...
ClickHouse, Inc., the company behind the world’s fastest real-time analytical database, announced a high-performance, enterprise-grade Postgres service natively integrated with ClickHouse, delivering ...
MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers ...
EnterpriseDB (EDB), a leading sovereign AI and data company, announced new investments in petabyte-scale analytics, expanding EDB Postgres AI (EDB PG AI) for WarehousePG with real-time streaming and ...