Web browser with integrated vector database
Topics: Chunk Relevance, Passage based retrieval, Personalization, Semantic Search, User Signals
This patent describes a web browsing application developed by Google that integrates a vector database directly into the browser to store and manage session data. As users browse the web, the browser automatically converts visited web content into mathematical representations called embeddings and stores them in a vector database. Users can then ask the browser simple questions in natural language, and the system uses machine-learned models to search across all browsed content and deliver fast, relevant answers or perform complex tasks. There is a direct relation to Geminin integrated in Chrome and this Google news https://blog.google/products-and-platforms/products/chrome/new-ai-features-for-chrome/.
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