YouTube Video
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
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