Core steps to achieve localized multi-source data integration
Unigraph offers a complete localization solution:
- Choosing the right mounting method: It is preferred to use Docker for deployment, execute the
docker run -d -p 4002:4002 -v <数据目录>:/opt/unigraph -p 4001:4001 -p 3000:3000 -P unigraph-devserverQuickly set up your environment - Preparation for Data Import: Organize text, images, audio and other files that need to be consolidated and store them in specific directories according to their original classification
- Batch import operation: API import function through the Web interface (http://localhost:3000), supporting automatic parsing in various formats
- Relationship Building: Manually drag nodes in the knowledge graph interface to establish associations, or use automated rules to set up labeling relationships
Data Security Measures: All operations are done locally, regular backups are recommended./opt/unigraphCatalog, with optional encrypted storage for sensitive data.
This answer comes from the articleUnigraph: building locally running knowledge graphs and personal search enginesThe
May not be reproduced without permission:AI productivity tools " How to securely integrate multiple sources of data locally and build a personal knowledge graph?
