Knowledge Management
Create, organize, and maintain the information sources your agents can access
The Knowledge Management section allows you to create, organize, and maintain the information sources your agents can access and learn from, ensuring they have accurate and relevant data.
Knowledge Management Overview
The knowledge system is structured around several components:
Knowledge Bases
Organize information by topic or purpose
Document Management
Add and process information sources
Knowledge Graph
Visualize relationships between information
Search and Retrieval
Find and use specific information
Knowledge Bases
The Knowledge Bases section allows you to organize information by topic or purpose:
- Define purpose and scope
- Set up structure and organization
- Configure access controls
- Establish update procedures
- Define purpose and scope
- Set up structure and organization
- Configure access controls
- Establish update procedures
- Add and remove documents
- Organize information hierarchically
- Tag and categorize content
- Manage metadata
- Set agent access permissions
- Configure user access rights
- Define visibility rules
- Manage sharing options
- Track usage and effectiveness
- Measure retrieval accuracy
- Monitor query patterns
- Identify improvement opportunities
Document Management
The Document Management section helps you add and process information sources:
Document Upload
Add files in various formats
Processing
Extract and structure information
Enrichment
Add metadata and relationships
Maintenance
Update and version documents
Document management features include:
- Support for multiple file formats (PDF, DOCX, HTML, etc.)
- Automatic text extraction
- OCR for images and scanned documents
- Metadata extraction and enhancement
- Content chunking and indexing
- Version control and history
Knowledge Graph
The Knowledge Graph section helps you visualize relationships between information:
Entity Extraction
Identify key concepts and entities
Relationship Mapping
Define connections between entities
Graph Visualization
See the knowledge structure
Graph Analysis
Identify patterns and gaps
Knowledge graph capabilities include:
- Automatic entity recognition
- Relationship inference
- Interactive visualization
- Graph querying
- Path analysis
- Centrality and importance metrics
Search and Retrieval
The Search and Retrieval section helps you find and use specific information:
- Keyword search
- Semantic search
- Natural language queries
- Structured queries
- Keyword search
- Semantic search
- Natural language queries
- Structured queries
- Contextual relevance scoring
- Personalized results
- Freshness weighting
- Authority ranking
- Conversation history integration
- User preference consideration
- Task-specific retrieval
- Adaptive relevance
- Snippet generation
- Source attribution
- Confidence scoring
- Alternative suggestions
Knowledge Types
Xenovia supports different types of knowledge to address various needs:
Factual Knowledge
Verified information and data
Procedural Knowledge
Step-by-step processes
Conceptual Knowledge
Principles and theories
Reference Material
Comprehensive resources
Case Studies
Real-world examples
FAQ Knowledge
Common questions and answers
Knowledge Integration
The knowledge system integrates with other platform components:
Agent Connection
Link agents to relevant knowledge bases
Tool Integration
Connect knowledge to specialized tools
Analytics Integration
Track knowledge usage and effectiveness
Security Integration
Apply access controls and compliance policies
Integration features include:
- Configurable retrieval settings per agent
- Knowledge-aware tool execution
- Performance analytics
- Security and compliance enforcement
- Automated knowledge suggestions