Embedding models that place text, images, video, audio, and documents into a single shared vector space, allowing cross-modal retrieval from one query. Gemini Embedding 2 is the first natively multimodal model in this category. Enables practical applications like troubleshooting a 68-page vacuum manual by retrieving both text steps and diagrams, or matching uploaded roof photos against a database of past projects with cost metadata.
Related entities
Source references
- [src-006] Nate Herk cluster — Nate Herk — RAG and data ingestion cluster (5 videos)
– Videos referenced: hem5D1uvy-w