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.
Xenovia Knowledge Management Interface

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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

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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

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Document Management

The Document Management section helps you add and process information sources:
1

Document Upload

Add files in various formats
2

Processing

Extract and structure information
3

Enrichment

Add metadata and relationships
4

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

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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

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Search and Retrieval

The Search and Retrieval section helps you find and use specific information:
  • Keyword search
  • Semantic search
  • Natural language queries
  • Structured queries

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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

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Knowledge Integration

The knowledge system integrates with other platform components:
1

Agent Connection

Link agents to relevant knowledge bases
2

Tool Integration

Connect knowledge to specialized tools
3

Analytics Integration

Track knowledge usage and effectiveness
4

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

Memory Management

Persistent agent memory

Agent Creation

Build knowledge-powered agents

Analytics

Knowledge usage insights