E781: We look at Chrome’s internal search system. Chris Long explains Dan Petrovic (Dejan SEO)’s analysis of how Chrome breaks down web pages and stores information using chunking and embeddings.
Topics include: - How Chrome’s document chunker splits pages into smaller sections - The embedding system that stores browsing history in vector form - How on-device search in Chrome differs from Google Search - What this shows about intent, structure, and content processing
⭐️ Inside Chrome’s Semantic Engine: A Technical Analysis of History Embeddings - https://dejan.ai/blog/inside-chromes-semantic-engine-a-technical-analysis-of-history-embeddings/
⭐️ Chris Long’s breakdown - https://x.com/chris_nectiv/status/1958869274249834659
💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/
00:00 Introduction to Chrome's Semantic Engine 00:11 Decoding Chrome's Internal Search 01:33 Document Chunker Algorithm Explained 03:34 Chrome's History Embeddings 04:56 Dynamic Content and Embedding Engine 05:38 Quality Control and Intent Classification 06:47 Key Takeaways and Conclusion
The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/
#searchengineoptimization #technicalseo #seotips #googleseo
