Getting Started

Welcome to your AI Knowledge Base & Support Platform! This guide will help you set up your first knowledge base, configure your AI chatbot, and start providing exceptional customer support.

🎯 What You'll Accomplish

By the end of this guide, you'll have:

• ✅ Created your first knowledge base articles
• ✅ Configured an AI chatbot
• ✅ Set up knowledge gap detection
• ✅ Deployed your support system

📝 Step 1: Create Your Knowledge Base

Adding Your First Article

1. Navigate to Knowledge Base Management

   • Go to /app/knowledge-base
   • Click "Create New Article"

2. Fill in Article Details

   {
     title: "How to create an account",
     content: "Creating an account is simple. Click the 'Sign Up' button...",
     category: "getting-started",
     language: "en"
   }

3. Organize by Categories

   • Create categories like "Account", "Billing", "Technical Support"
   • Use consistent naming conventions
   • Add language variants for international support

Best Practices for Knowledge Base Articles

• Clear Titles: Use descriptive, search-friendly titles
• Structured Content: Break information into sections with headers
• Actionable Steps: Provide step-by-step instructions
• Visual Aids: Include screenshots or diagrams when helpful
• Regular Updates: Keep content current and accurate

🤖 Step 2: Configure Your AI Chatbot

Basic Configuration

1. Access Chatbot Settings

   • Navigate to your dashboard
   • Click "AI Chatbot Configuration"

2. Set Response Preferences

   {
     "response_style": "helpful_and_professional",
     "max_response_length": 500,
     "confidence_threshold": 0.8,
     "fallback_message": "I'm sorry, I couldn't find a specific answer. Let me connect you with a human agent."
   }

3. Enable Multi-language Support

   • Select supported languages
   • Configure language-specific responses
   • Test translations for accuracy

Advanced Features

• Context Awareness: Enable conversation memory
• Intent Recognition: Set up custom intents for your business
• Escalation Rules: Define when to transfer to human agents
• Branding: Customize chatbot appearance and personality

🔍 Step 3: Set Up Knowledge Gap Detection

Understanding Knowledge Gaps

Knowledge gaps occur when customers ask questions your AI cannot answer. Our system automatically:

1. Detects Unanswered Questions

   • Identifies queries with low confidence scores
   • Categorizes question types
   • Tracks frequency and patterns

2. Provides Actionable Insights

   • Suggests new article topics
   • Highlights trending questions
   • Recommends content improvements

Managing Knowledge Gaps

// Example: Knowledge gap data structure
interface KnowledgeGap {
  id: string;
  question: string;
  frequency: number;
  category: string;
  suggested_article_title: string;
  priority: 'low' | 'medium' | 'high';
}

Creating Articles from Gaps

1. Review Gap Reports

   • Check /app/knowledge-gaps regularly
   • Prioritize high-frequency questions
   • Look for content improvement opportunities

2. Create Targeted Content

   • Write articles addressing specific gaps
   • Use customer language in your content
   • Test articles with similar questions

📊 Step 4: Monitor Performance

Key Metrics to Track

• Response Accuracy: Percentage of correct AI responses
• Customer Satisfaction: Ratings and feedback scores
• Knowledge Gap Trends: New and recurring gaps
• Usage Analytics: Most accessed articles and features

Analytics Dashboard

Access comprehensive analytics at /app/analytics:

// Example: Analytics data structure
interface Analytics {
  total_conversations: number;
  ai_resolution_rate: number;
  customer_satisfaction_score: number;
  knowledge_gaps_resolved: number;
  most_popular_articles: Article[];
}

🚀 Step 5: Go Live

Pre-Launch Checklist

• Test chatbot responses thoroughly
• Verify knowledge base accuracy
• Set up monitoring and alerts
• Train your support team on the system
• Prepare fallback procedures

Deployment Options

1. Website Integration

   <!-- Embed chatbot widget -->
   <script src="https://yourplatform.com/chatbot.js"></script>
   <div id="ai-chatbot"></div>

2. API Integration

   # Integrate with existing systems
   curl -X POST "https://api.yourplatform.com/chat" \
     -H "Content-Type: application/json" \
     -d '{"message": "How do I reset my password?", "user_id": "123"}'

🔧 Troubleshooting Common Issues

Chatbot Not Responding

• Check API connectivity
• Verify knowledge base is properly indexed
• Review confidence threshold settings

Low Response Accuracy

• Review and update knowledge base content
• Analyze failed conversations
• Adjust AI training parameters

Knowledge Gaps Not Detected

• Ensure proper logging is enabled
• Check gap detection sensitivity settings
• Verify question categorization

📚 Next Steps

Now that you have the basics set up:

1. Explore Advanced Features

   • Set up custom integrations
   • Configure advanced analytics
   • Implement A/B testing for responses

2. Scale Your Knowledge Base

   • Add more articles and categories
   • Implement content workflows
   • Set up automated content updates

3. Optimize Performance

   • Analyze user feedback
   • Refine AI responses
   • Continuously improve content quality

💡 Pro Tips

• Start Small: Begin with your most common support questions
• Iterate Often: Regularly review and update your content
• Monitor Feedback: Use customer feedback to improve responses
• Stay Updated: Keep up with new features and best practices

Ready to transform your customer support? Start building your knowledge base today!