System Integration Program
Building an enterprise knowledge base with the NoneBot DeepSeek plugin requires a three-phase implementation:
1. Basic access
- utilization
pip install nonebot-plugin-deepseekInstallation of plug-ins - configure
deepseek__api_keyExclusive keys for businesses - set up
enable_models: ["deepseek-doc-qa"]Document Question and Answer Model (DQAM)
2. Knowledge infusion
- Convert corporate documents to Markdown format
- pass (a bill or inspection etc)
/ds --upload manual.mdUploading knowledge files - utilization
--trainParameters regularly update model cognition
3. Scenario-based deployment
Typical application patterns:
- Nail/Enterprise Microbot Docking
- Work Order System Intelligent Response
- Internal WIKI Search Engine Enhancement
- Newcomer training question-and-answer system
caveat
Sensitive data needs to be enabled for the private deployment version, which can be accessed through thedeepseek__api_baseConfigure local model endpoints.
This answer comes from the articleNoneBot DeepSeek Plugin: Intelligent dialog for customer service based on NoneBot & DeepSeek.The
May not be reproduced without permission:AI productivity tools " How to implement a DeepSeek-based intelligent knowledge base in an on-premises system?
