Comparison of Deployment Options for Core
Core offers both local and cloud deployment modes to accommodate different user needs and scenarios. Local deployment is suitable for organizations or individuals focusing on data privacy, while cloud services provide convenience for quick enablement.
Local Deployment Program
- technical requirement: Requires a Node.js environment and Git tools
- Configuration steps: Includes cloning repositories, installing dependencies, setting environment variables, etc.
- safety: Data is stored entirely on the user's local device
- Applicable Scenarios: Particularly suitable for scenarios where sensitive data are handled or where data sovereignty is required
Benefits of Cloud Services
- convenience: No need to install and configure to use
- collaborative: Facilitate sharing of knowledge graphs among team members
- Easy maintenance: Eliminates the need for local system operations and maintenance
- pay-for-play model: Stable service on a subscription basis
Specific application cases
Individual users can choose a local deployment to manage private notes, while project teams are better suited to collaborate using cloud services. Researchers can choose the right deployment method based on data type, ensuring a balance of compliance and convenience.
This answer comes from the articleCore: a tool for personalized memory storage for large modelsThe
May not be reproduced without permission:AI productivity tools " Core's deployment flexibility makes it suitable for a wide range of usage scenarios
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