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 ...
Dataquest

Google Gemini Embedding 2: Multimodal AI Model for Enterprise Search

Google has introduced Gemini Embedding 2, its latest multimodal AI model designed to process text, images, video, audio and documents in a unified vector space. AI has been changing swiftly to the non ...
InfoWorld

Using PostgreSQL as a vector database in RAG

PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...
Hosted on MSN

Google unveils Gemini Embedding 2, its first multimodal embedding model

Google has officially unveiled its first-ever multimodal embedding model, the Gemini Embedding 2. While AI started with being limited to text-only, with the help of Gemini Embedding 2, Google is ...