Scenario requirements
The customer service knowledge base needs to be updated in real time with information on product policies, troubleshooting solutions, etc., while keeping a history of changes for auditing purposes.DiffMem's solution is as follows:
Implementation steps
- Structuring of knowledge::
- The product brochure is organized by
产品ID.mdformat storage - The FAQs are categorized as
FAQ/[类别].md
- The product brochure is organized by
- Automated Updates::
- pass (a bill or inspection etc)
process_and_commit_sessionAutomatic parsing of customer service dialogs - Setting up Git hooks to trigger compliance checks
- pass (a bill or inspection etc)
- Version Traceability::
- utilization
git blameView Article Modification History - pass (a bill or inspection etc)
depth="temporal"Get a timeline of policy evolution
- utilization
Typical Workflow
# 新政策录入
memory.commit_file("policies/returns.md", "新退换货政策...")
# 查询历史版本
git.show("HEAD~3:policies/returns.md")Effectiveness evaluation
Data from a pilot program shows:
- Reduction in the time frame for updating knowledge from 8 hours to 15 minutes
- Policy backdating reduced by 90%
- Decrease in complaints due to outdated information 45%
This answer comes from the articleDiffMem: a Git-based versioned memory repository for AI intelligencesThe
May not be reproduced without permission:AI productivity tools " How to apply DiffMem for dynamic updating of knowledge base in customer service scenarios?
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