AI Customer Service KB Builder
VerifiedBuild AI-powered customer service knowledge bases by extracting FAQs from documents or websites, enabling automated replies and multi-format exports.
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# AI Customer Service Knowledge Base Builder
Description Help SMBs quickly build AI-powered customer service systems. Input FAQ documents or website URLs to automatically generate a knowledge base and configure auto-reply capabilities.
帮助中小企业快速搭建AI客服系统。输入FAQ文档或网站URL,自动生成知识库并配置自动回复功能。
Use When - Setting up customer service automation - Building FAQ knowledge bases - Configuring auto-reply systems - Migrating customer service to AI
Capabilities - Extract FAQ from documents (PDF, TXT, MD, DOCX) - Scrape FAQ from website URLs - Generate structured knowledge base (JSON) - Test Q&A matching - Export to common formats (JSON, CSV, Markdown)
Usage
Basic Commands ```bash # Extract from document node kb-builder.js extract --file ./faq.pdf --output ./kb.json
# Extract from website node kb-builder.js scrape --url https://example.com/faq --output ./kb.json
# Test knowledge base node kb-builder.js test --kb ./kb.json --query "退货政策是什么?"
# Export to different formats node kb-builder.js export --kb ./kb.json --format csv --output ./kb.csv ```
Configuration Create `config.json`: ```json { "language": "zh-CN", "minConfidence": 0.7, "maxResults": 3, "fallbackMessage": "抱歉,我没有找到相关答案。请联系人工客服。" } ```
Examples
Example 1: Build from PDF ```bash node kb-builder.js extract --file ./company-faq.pdf --output ./kb.json node kb-builder.js test --kb ./kb.json --query "如何退货?" ```
Example 2: Build from Website ```bash node kb-builder.js scrape --url https://shop.example.com/help --output ./kb.json node kb-builder.js export --kb ./kb.json --format markdown --output ./faq.md ```
Example 3: Interactive Mode ```bash node kb-builder.js interactive --kb ./kb.json # Then type questions to test responses ```
Output Format Knowledge base JSON structure: ```json { "version": "1.0", "language": "zh-CN", "entries": [ { "id": "q001", "question": "如何退货?", "answer": "您可以在收到商品后7天内申请退货...", "keywords": ["退货", "退款", "return"], "category": "售后服务" } ] } ```
Requirements - Node.js 18+ - No external API keys needed for basic features - Optional: OpenAI API key for enhanced matching
Security - All processing is local - No data sent to external services (unless using OpenAI enhancement) - Safe for sensitive business information
Limitations - PDF extraction requires readable text (not scanned images) - Website scraping respects robots.txt - Best results with structured FAQ pages
Author Created for OpenClaw by Claude
License MIT
Tags customer-service, ai, knowledge-base, faq, automation, chatbot, 客服, 知识库
Use Cases
- Build a knowledge base from existing FAQ documents and website content for AI-powered support
- Configure auto-reply rules that handle common customer questions without human intervention
- Import support tickets and chat logs to train the knowledge base on real customer interactions
- Set up multi-language customer support by feeding content in different languages
- Generate structured Q&A pairs from unstructured product documentation
Pros & Cons
Pros
- +Accepts multiple input formats — FAQ docs, URLs, and raw text — for flexible knowledge base building
- +Bilingual design (English/Chinese) serves a broader user base
- +Focused on SMBs who need quick setup without enterprise-level complexity
Cons
- -No integration with actual helpdesk platforms like Zendesk, Intercom, or Freshdesk
- -Knowledge base quality depends entirely on the input documents provided
- -No analytics or feedback loop to identify gaps in the knowledge base over time
FAQ
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