Feature List Overview
9/16/25About 5 min
qKnow Knowledge Platform is built on the core principles of "Full Knowledge Lifecycle, Intelligent Extraction, Integrated Application, Visual Insights, and Open Empowerment". It manages the entire process of knowledge—from acquisition, organization, extraction, integration, and reasoning to application—helping enterprises build a unified, trustworthy, usable, and shareable knowledge foundation.
No. | Module | Submodule | Function Description | Notes | Open-Source Edition | Commercial Edition |
---|---|---|---|---|---|---|
1 | Knowledge Center | Knowledge Categories | Supports adding, modifying, deleting, and querying knowledge categories, including hierarchical structure management. | ✅ (Included) | ✅ | |
File Management | Supports file preview, upload, download, categorization, and search operations, with classification management by file type. | |||||
2 | Knowledge Extraction | Concept Configuration | Supports adding, modifying, deleting, and querying concepts, providing a foundational framework for subsequent knowledge extraction, organization, and application. | ✅ | ✅ | |
Relationship Configuration | Supports adding, modifying, deleting, and querying relationships; defines and manages relationships between different knowledge concepts to ensure the platform can automatically recognize and correctly apply them. | ✅ | ✅ | |||
Unstructured Extraction | Supports creating, modifying, deleting, and querying unstructured extraction tasks; extracts knowledge from unstructured data sources using NLP techniques to identify entities, events, and relationships, transforming unstructured text into structured information for further storage, analysis, and use. | Open-source edition uses DeepKE, suitable for basic entity and relationship recognition. Commercial edition offers LLM-based extraction, supporting more types and zero-shot tasks with higher accuracy. | 🟡 (Partially included) | ✅ | ||
Structured Extraction | Supports creating, modifying, deleting, and querying structured extraction tasks; extracts knowledge from structured data sources (e.g., relational databases) using predefined rules to automatically identify and extract entities, relationships, and attributes, storing them in standardized formats (e.g., triples) to ensure structural consistency and usability. | ✅ | ✅ | |||
3 | Knowledge Fusion | Knowledge Fusion | Integrates knowledge from diverse sources and formats into a standardized, structured knowledge base. By consolidating heterogeneous data, the platform filters out duplicates and allows manual review to ensure knowledge accuracy and consistency. | ❌ (Not included) | ✅ | |
4 | Knowledge Reasoning | Knowledge Reasoning | Derives new knowledge from existing knowledge graphs and rules. This function analyzes known entities, relationships, and context using reasoning algorithms to automatically fill gaps or uncertain parts in the knowledge graph, improving its completeness and accuracy. | ❌ | ✅ | |
5 | Knowledge Application | Graph Exploration | Displays entities, relationships, and connections in the knowledge graph via a graphical interface. Users can explore different levels and details through zooming, dragging, and clicking. Supports keyword, entity name, or relationship type searches for quick navigation, with both exact and fuzzy matching to help users efficiently retrieve needed knowledge. | ✅ | ✅ | |
Knowledge Q&A | Enables users to ask questions in natural language; the system provides intelligent answers based on entities and relationships in the knowledge graph. Users input questions directly, and the system analyzes entities, relationships, and context to extract and generate answers. | ❌ | ✅ | |||
AI Applications | Seamlessly integrates with AI workflows orchestrated on large model platforms, enabling rapid development of custom AI business applications. | ❌ | ✅ | |||
AI Application Types | Supports adding, modifying, deleting, and querying AI application types. Manages API keys for various large model applications. | ❌ | ✅ | |||
Knowledge Recommendation | Recommends relevant documents, entities, or knowledge resources by analyzing user history, queries, and browsing preferences. Supports full-text search with natural language matching across all knowledge base content. | ❌ | ✅ | |||
Service Management | Supports adding, modifying, deleting, querying, and publishing services. Services are exposed via API interfaces. | ❌ | ✅ | |||
Service Logs | Logs service calls, including caller IP, data volume, response time, and timestamp. | ❌ | ✅ | |||
6 | Fault Tree Management | Fault Tree | Supports adding, modifying, deleting, querying, and publishing fault trees. Provides drag-and-drop visual configuration of fault tree logic flowcharts. | ❌ | ✅ | |
Fault Parameters | Supports adding, modifying, deleting, and querying fault parameters. | ❌ | ✅ | |||
Fault Graph | Provides an intuitive visual interface to display fault graphs. Users can customize fault tree nodes for fault analysis and decision support. | ❌ | ✅ | |||
7 | Data Management | Data Sources | Supports adding, modifying, deleting, and querying structured data sources. | ✅ | ✅ | |
8 | System Management | User Management | Manages user account creation, assignment, activation, deactivation, multi-role binding, password reset, etc., ensuring controlled system access. | ✅ | ✅ | |
Role Management | Supports role definition and permission configuration, flexible binding of menu and functional permissions, enabling role-based access control. | |||||
Menu Management | Configures system menus, operation permissions, button permission identifiers, etc. | |||||
Department Management | Supports adding, editing, deleting, and hierarchical management of departments to build organizational structure, supporting hierarchical permissions and data isolation. | |||||
Position Management | Configures job positions for system users. | |||||
Dictionary Management | Maintains commonly used, relatively fixed data within the system. | |||||
Parameter Settings | Dynamically configures common system parameters. | |||||
Announcements | Manages the publication and maintenance of system announcements and notices. | |||||
Log Management | Operation logs: records and queries normal system operations and system error logs. Login logs: records and queries system login logs, including anomalies. | |||||
9 | System Monitoring | Online Users | Monitors active user status in the current system. | ✅ | ✅ | |
Scheduled Tasks | Online management (add, modify, delete) of task scheduling, including execution result logs. | |||||
Service Monitoring | Monitors current system CPU, memory, disk, heap, and other related information. | |||||
Cache Monitoring | Queries system cache information and command statistics. | |||||
Cache List | Displays all cache entries in the system. | |||||
10 | System Tools | Code Generation | Generates front-end and back-end code (Java, HTML, XML, SQL), supports CRUD download. | ✅ | ✅ | |
API Documentation | Automatically generates API documentation based on business code. | |||||
11 | Others | Online Documentation | Provides comprehensive official documentation, including deployment, operations, APIs, best practices, etc., updated regularly with a complete structure. | ✅ | ✅ | |
Technical Support | Provides enterprise-level technical support services, dedicated technical contacts, SLA support, 7x24 or 5x8 availability. | Open-source edition relies on community support via Issues. | 🟡 | ✅ | ||
Source Code Updates | Provides stable version update channels with upgrade guides, patch notes, and long-term maintenance for compatibility and security. | ✅ | ✅ |