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

Unlock Google Gemini AI with these 7 prompts demonstrating research, coding, music, and travel capabilities efficiently.

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

Google's head of Search described how multimodal LLMs help Google understand audio and video, and discussed a direction for ...

Google’s Gemini Embedding 2 is here. The new multimodal model improves how AI understands text, images, and video while cutting storage costs for developers.

VCs are keeping tabs on creator economy startups in areas ranging from generative AI to live shopping.

I tested 20+ Linux desktop AI companions—several match or beat Copilot depending on use case. Newelle, LM Studio, PyGPT, and Jan.ai stand out for supporting local models, offline use, and more ...

Google unveils Gemini Embedding 2, a multimodal AI model for RAG, semantic search and clustering across 100+ languages.

Canal+ will use Google's generative AI technologies across European and African markets where the CANAL+ app is available.

As AI search becomes conversational, prompt patterns reveal how questions evolve and how content appears in search results and AI answers.