Semantic Search Engine Optimization Applications
When facing 20+ tabs, traditional Ctrl+F search has problems such as limited scope and no semantic understanding. Efficiency improvement is realized through the following combination of functions:
- Vector Database Acceleration: SIMD technology makes tab content retrieval 4-8 times faster
- Multi-dimensional search strategy::
- Exact match: find specific terms (e.g., product model number)
- Semantic expansion: recognizing related concepts (searching for "machine learning" automatically includes results for "deep learning")
- Abstract Generation: Quickly Preview Matching Content Core Views
Practical Example:Academic researchWhen you enter "Find all pages that discuss neural network optimization", the system will: 1) scan all tabs 2) mark relevance scores 3) extract key paragraphs. With the content analysis function, a comparison report can be generated directly.
This answer comes from the articleChrome MCP Server: the Chrome extension that lets AI control the browser for automationThe
May not be reproduced without permission:AI productivity tools " How to improve the efficiency of multi-tab information retrieval and realize intelligent content association?
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