Types of Knowledge Agents
Aivah offers different types of Knowledge Agents, each optimized for specific use cases and interaction patterns. Understanding the differences helps you choose the right configuration for your needs.Overview of Agent Types
Standard Knowledge Agent
General-purpose agents for comprehensive knowledge bases with multiple content sources
Presentation Agent
Specialized agents for single-document presentations and slide decks
Real-Time Agent
Live, conversational agents optimized for instant interactions
Multi-Modal Agent
Advanced agents capable of handling text, images, and multimedia content
Standard Knowledge Agent
The most versatile type of Knowledge Agent, designed for comprehensive information delivery across multiple content sources.Key Features
- Multiple content sources - Combine text, URLs, and file uploads
- Comprehensive knowledge base - Handle diverse information types
- Flexible interaction modes - Support both casual and detailed queries
- Scalable content management - Easy to expand and modify knowledge base
Best Use Cases
Customer Support
Customer Support
- FAQ databases
- Product documentation
- Troubleshooting guides
- Policy and procedure information
Internal Knowledge
Internal Knowledge
- Employee handbooks
- Company procedures
- Training materials
- Department-specific information
Educational Content
Educational Content
- Course materials
- Research databases
- Reference libraries
- Academic resources
Configuration Options
- Content Sources
- Response Style
- Management
Multiple Input Types
- Direct text entry for specific information
- URL integration for web content
- File uploads for documents and PDFs
- Mix and match sources as needed
Presentation Agent
Specialized agents designed for interactive presentation experiences with single-document focus.Key Features
- Single-document optimization - Focused on one presentation or slide deck
- Interactive navigation - Users can explore content conversationally
- Context-aware responses - Understands slide relationships and flow
- Visual content integration - References charts, graphs, and slide elements
Best Use Cases
Sales and Marketing
Sales and Marketing
- Product pitch decks
- Marketing presentations
- Proposal documents
- Campaign materials
Training and Education
Training and Education
- Corporate training decks
- Educational presentations
- Workshop materials
- Onboarding content
Executive Communications
Executive Communications
- Strategy presentations
- Board meeting materials
- Quarterly reviews
- Company announcements
Configuration Details
1
Document Requirements
- PDF format only
- Single document at a time
- Selectable text (not image-based)
- Clear slide structure and numbering
2
Interaction Features
- Slide-specific questions and answers
- Cross-slide information linking
- Content summarization capabilities
- Navigation by topic or slide number
3
Management Constraints
- Replace entire document to update
- No additional content sources
- Document-centric content organization
- Simplified knowledge management
Real-Time Agent
Optimized for live, instant interactions with minimal response delay.Key Features
- Instant responses - Sub-second reply times for most queries
- Live conversations - Natural, flowing dialogue experiences
- Context retention - Remembers conversation history within sessions
- Voice compatibility - Works with speech-to-text and text-to-speech
Best Use Cases
Customer Service
Customer Service
- Live chat support
- Instant FAQ responses
- Real-time troubleshooting
- Immediate assistance requests
Interactive Applications
Interactive Applications
- Voice assistants
- Chatbot integrations
- Real-time Q&A sessions
- Live demonstrations
Internal Tools
Internal Tools
- Employee self-service
- IT help desk automation
- Real-time information lookup
- Quick decision support
Performance Considerations
Response Speed
Optimized for sub-second response times with efficient content retrieval
Concurrent Usage
Handles multiple simultaneous conversations without performance degradation
Context Management
Maintains conversation context while optimizing for speed
Integration Ready
API-first design for seamless application integration
Multi-Modal Agent
Advanced agents capable of processing and responding to multiple content types including text, images, and multimedia.Key Features
- Image processing - Analyze and respond to uploaded images
- Document understanding - Process complex documents with visual elements
- Mixed media responses - Provide text, visual, and interactive responses
- Advanced content types - Handle charts, diagrams, screenshots, and more
Best Use Cases
Technical Support
Technical Support
- Screenshot troubleshooting
- Visual problem diagnosis
- Diagram explanations
- Step-by-step visual guides
Educational Applications
Educational Applications
- Visual learning materials
- Image-based questions
- Multimedia course content
- Interactive learning experiences
Creative and Design
Creative and Design
- Design feedback and analysis
- Visual content creation
- Artistic interpretation
- Creative project assistance
Technical Requirements
1
Plan Compatibility
Multi-modal features require specific Aivah plan levels. Check your plan for availability.
2
Content Preparation
- High-quality images for best analysis
- Clear visual elements and text
- Appropriate file formats and sizes
- Descriptive alt text when possible
3
Performance Impact
- Slightly longer processing times for complex visuals
- Higher resource usage for multimedia content
- Bandwidth considerations for image transfer
- Storage implications for multimedia knowledge bases
Choosing the Right Agent Type
Decision Matrix
- Content Complexity
- Interaction Style
- Use Case Priority
Simple to Complex
- Single document → Presentation Agent
- Multiple sources → Standard Knowledge Agent
- Mixed media → Multi-Modal Agent
- Any complexity → Real-Time Agent (with other features)
Feature Comparison
| Feature | Standard | Presentation | Real-Time | Multi-Modal |
|---|---|---|---|---|
| Multiple content sources | ✅ | ❌ | ✅ | ✅ |
| Single document focus | ❌ | ✅ | Optional | Optional |
| Instant responses | Optional | Optional | ✅ | Optional |
| Image processing | ❌ | ❌ | Optional | ✅ |
| Voice compatibility | Optional | Optional | ✅ | ✅ |
| Context retention | ✅ | ✅ | ✅ | ✅ |
| API integration | ✅ | ✅ | ✅ | ✅ |
Combining Agent Types
Hybrid Configurations
Many agents can combine multiple features:Real-Time + Multi-Modal
Real-Time + Multi-Modal
Live agents with image processing capabilities for technical support and interactive assistance.
Standard + Real-Time
Standard + Real-Time
Comprehensive knowledge bases with instant response capabilities for customer service applications.
Presentation + Real-Time
Presentation + Real-Time
Interactive presentation agents with live Q&A capabilities for training and sales scenarios.
Implementation Strategy
1
Start Simple
Begin with a Standard Knowledge Agent to establish your knowledge base and understand usage patterns.
2
Add Features Gradually
Enable Real-Time API, Multi-Modal processing, or Presentation mode based on user needs and feedback.
3
Optimize Performance
Monitor usage patterns and optimize agent configuration for your specific use case requirements.
4
Scale as Needed
Expand capabilities and create specialized agents for different departments or use cases.
Migration Between Agent Types
Changing Agent Configuration
1
Assess Current Setup
Review your existing agent’s content, usage patterns, and performance metrics.
2
Plan Migration
Identify which features to add or modify and potential impact on users.
3
Test Changes
Use a duplicate agent to test new configurations before applying to production.
4
Implement Gradually
Roll out changes during low-usage periods and monitor performance closely.
Migration Considerations
Best Practices by Agent Type
Standard Knowledge Agents
Standard Knowledge Agents
- Organize content logically with clear categorization
- Regular content audits and updates
- Balance comprehensiveness with relevance
- Test across different query types and complexity levels
Presentation Agents
Presentation Agents
- Ensure slide content is text-heavy and well-structured
- Use clear, descriptive slide titles and numbering
- Test navigation with typical user questions
- Optimize presentation for conversational interaction
Real-Time Agents
Real-Time Agents
- Prioritize response speed optimization
- Implement proper error handling and fallbacks
- Monitor performance under load
- Plan for scalability and concurrent users
Multi-Modal Agents
Multi-Modal Agents
- Use high-quality, clear images and visuals
- Provide context for complex visual content
- Test with various image types and qualities
- Balance visual processing with response speed
