EmbeddingGemma 2 and Foresight: local multimodal search
Google publishes an open embedding model and an experimental Mac app for meetings.
Available
Facts, analysis and limits
Verified facts
- EmbeddingGemma 2 maps text, images, video frames and audio into one vector space; the model has 740 million parameters.
- AI Edge Gallery adds Instant Media Search and Video Moments Finder.
- Foresight on Mac uses EmbeddingGemma 2 and Gemma 4 for notes, transcripts and local search.
- The Android ML Kit integration is announced for the following weeks, not as already available.
What changes
Search can address the meaning of an audio or visual excerpt without sending the entire private archive to a cloud service.
Practical implication
Try a small set of authorized documents and check the results in French; obtain consent before any recording.
Availability
Belgium/EEA: regional scope is not specified in the sources reviewed; check the account, contract and processing region before use.
Limits and uncertainty
Experimental application; memory performance is Google measurements on given device. Open-weight does not mean no license conditions.