Google's EmbeddingGemma 2 Makes Mac Search Smarter
Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Video notes + links to the tools 👉 https://www.skool.com/ai-profit-lab-7462/about Get a FREE AI Course + Community + 1,000 AI Agents 👉https://www.skool.com/ai-seo-with-julian-goldie-1553/about Free GEO & AI SEO Checklist! https://orders.goldie.agency/signup Get a FREE GEO + AEO Strategy Session → https://go.juliangoldie.com/strategy-session?utm=julian Get 200+ Free AI SEO Prompts → https://go.juliangoldie.com/chat-gpt-prompts?utm=julian Get our free SEO Link Building Book here: https://go.juliangoldie.com/opt-in?utm=julian Google’s new Embedding Gemma 2 powers a free Mac app that searches by meaning, not file names. Describe a scene, a podcast moment, or a PDF clause and jump straight to it, all running locally on your machine. See how Dig Up works and why this tiny model needs so little memory. 00:00 Intro – Why Spotlight misses what’s inside your files 00:33 What Is Gemma – Google’s open model family 01:23 Embeddings Explained – Search by meaning 01:49 Dig Up – Free Mac semantic search app 02:41 Requirements – Apple Silicon, 865 MB, private 03:30 Embedding Gemma 2 – Under 1B parameters 04:21 Dig Up Demo – Find video, audio, PDF moments 05:18 Code Search – Agents that understand codebases 06:20 Memory Savings – 6x smaller embeddings 07:01 Learn More – AI Profit Boardroom and AI Success Lab
