Semantic search capability
- Conceptual extensions: Searching for "machine learning" will automatically include deep learning/neural networks and other related concepts.
- relationship traceability: trace the original source of a particular point of view and the relevant line of discussion
- Timeline Retrospective: Visualization by timeline of information correlation
Advanced Query Syntax
| operator (computing) | typical example | effect |
|---|---|---|
| AND/OR/NOT | AI NOT ChatGPT | Conceptual exclusions |
| NEAR | "Blockchain" NEAR/5 "Smart Contracts" | proximity search |
| HAS | HAS attachment:pdf | Attribute Filtering |
Personalized Configuration
Users can pass:
- Customized thesaurus for enhanced concept recognition
- Improve search accuracy by setting up domain-specific word lists
- Adjusting relationship weights changes the sorting algorithm
Search for efficiency data
Empirical tests show that compared to traditional search tools, Unigraph'sComplex Query Response TimeIt can shorten 40% and increase the check rate by 2.3 times.
This answer comes from the articleUnigraph: building locally running knowledge graphs and personal search enginesThe
May not be reproduced without permission:AI productivity tools " What advanced search features does Unigraph support?
