Skip to main content

Knowledge Management

Build and maintain a comprehensive knowledge base that powers your AI agents with accurate, up-to-date information.

Knowledge Base Overview

Your agent’s knowledge base is the foundation of its intelligence. It contains all the information your agent needs to provide accurate, helpful responses to users.

Adding Knowledge Sources

Document Uploads

Upload various file types to build your knowledge base:

Supported Formats

  • PDF Documents: Manuals, guides, specifications
  • Word Documents: Policies, procedures, documentation
  • Text Files: FAQs, scripts, content
  • Web Pages: Online articles, blog posts, documentation

Upload Process

  1. Navigate to Knowledge section
  2. Click “Add Source”
  3. Choose “Document Upload”
  4. Select your files
  5. Configure processing settings
  6. Review and confirm

Database Connections

Connect to existing databases and systems:

CRM Systems

  • Customer information
  • Interaction history
  • Support tickets
  • Account details

Product Catalogs

  • Product specifications
  • Pricing information
  • Availability status
  • Inventory levels

Knowledge Management Systems

  • Internal wikis
  • Documentation platforms
  • Training materials
  • Best practices

API Integrations

Connect to external data sources:

REST APIs

// Example API integration
const knowledgeSource = {
  endpoint: "https://api.example.com/knowledge",
  method: "GET",
  headers: {
    "Authorization": "Bearer YOUR_TOKEN"
  },
  refreshInterval: "1h"
};

Webhook Connections

  • Real-time updates
  • Event-driven synchronization
  • Automatic content refresh
  • Change notifications

Content Organization

Categories and Tags

Organize your knowledge for better retrieval:

Category Structure

  • Product Information: Specifications, features, pricing
  • Support Content: FAQs, troubleshooting, guides
  • Company Policies: Rules, procedures, guidelines
  • Technical Documentation: APIs, integrations, setup

Tagging System

  • Topic Tags: Subject matter classification
  • Priority Tags: Importance levels
  • Audience Tags: Target user groups
  • Status Tags: Content lifecycle stages

Content Hierarchy

Structure information logically:
  • Main Topics: High-level categories
  • Subtopics: Detailed breakdowns
  • Specific Details: Granular information
  • Related Content: Cross-references and links

Content Quality Management

Accuracy Verification

Ensure your knowledge base contains accurate information:

Review Process

  • Expert Review: Subject matter expert validation
  • User Feedback: Real-world usage validation
  • Automated Checks: System-generated accuracy reports
  • Regular Updates: Scheduled content reviews

Version Control

  • Change Tracking: Monitor content modifications
  • Rollback Capability: Revert to previous versions
  • Approval Workflows: Multi-step content approval
  • Audit Trails: Complete change history

Content Optimization

Search Optimization

  • Keyword Analysis: Identify important terms
  • Synonym Mapping: Connect related concepts
  • Context Enhancement: Improve search relevance
  • Performance Metrics: Track search effectiveness

User Experience

  • Clarity: Clear, understandable language
  • Completeness: Comprehensive coverage of topics
  • Consistency: Uniform tone and style
  • Accessibility: Easy to find and use

Advanced Features

Dynamic Content

Keep information current with automatic updates:

Scheduled Refreshes

  • Daily Updates: High-frequency content changes
  • Weekly Sync: Regular content synchronization
  • Monthly Reviews: Comprehensive content audits
  • Event-Driven: Real-time content updates

Content Validation

  • Link Checking: Verify external references
  • Fact Verification: Validate information accuracy
  • Format Validation: Ensure proper content structure
  • Completeness Checks: Identify missing information

Machine Learning Integration

Content Learning

  • Usage Patterns: Learn from user interactions
  • Feedback Integration: Incorporate user corrections
  • Automatic Categorization: AI-powered content organization
  • Relevance Scoring: Improve content ranking

Continuous Improvement

  • Performance Analysis: Track content effectiveness
  • Gap Identification: Find missing information
  • Optimization Suggestions: AI-recommended improvements
  • Trend Analysis: Identify emerging topics

Knowledge Base Analytics

Usage Metrics

Track how your knowledge base performs:

Content Performance

  • Most Accessed: Popular content pieces
  • Search Success: Query resolution rates
  • User Satisfaction: Content rating scores
  • Time to Resolution: How quickly users find answers

Content Gaps

  • Failed Searches: Unresolved queries
  • User Feedback: Reported missing information
  • Analytics Insights: Data-driven gap identification
  • Expert Recommendations: Subject matter expert input

Optimization Insights

Content Recommendations

  • Missing Content: Topics to add
  • Content Updates: Information to refresh
  • Structure Improvements: Better organization
  • User Experience: Enhanced accessibility

Performance Optimization

  • Search Improvements: Better query matching
  • Content Prioritization: Focus on high-impact content
  • User Journey: Optimize content flow
  • Conversion Tracking: Measure content effectiveness

Best Practices

Content Strategy

  • User-Centric: Focus on user needs and questions
  • Comprehensive: Cover all relevant topics
  • Current: Keep information up-to-date
  • Accessible: Easy to find and understand

Maintenance Schedule

  • Regular Reviews: Weekly content audits
  • Update Cycles: Monthly content refreshes
  • User Feedback: Continuous improvement based on input
  • Expert Consultation: Regular SME involvement

Quality Assurance

  • Accuracy Checks: Verify all information
  • Consistency Reviews: Maintain uniform style
  • User Testing: Validate with real users
  • Performance Monitoring: Track effectiveness metrics

Usage Analytics

Monitor your knowledge base performance

Agent Configuration

Configure how your agent uses knowledge