Qknow
qKnow is an open-source intelligent agent platform for enterprise knowledge and industry AI. It unifies documents and data via Knowledge Graphs and RAG, enabling businesses to rapidly build knowledge hubs, smart Q&A, and custom AI bots.
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What is Qknow?
qKnow is an open-source, enterprise-grade intelligent knowledge platform centered on knowledge graphs and integrated with vector knowledge bases. It helps enterprises build their AI brain, from knowledge graphs to intelligent applications. The platform provides knowledge extraction, knowledge fusion, graph construction, visualization, Bot building, and out-of-the-box AI applications capabilities, supporting enterprise documents, structured data, and business knowledge.
Key features include eight core modules: Knowledge Graph (with graph management, graph exploration, knowledge center, knowledge extraction, knowledge fusion, knowledge reasoning, data source management), Knowledge Base (with management, settings, file categorization, file management, file parsing, recall testing), Knowledge Q&A (AI Chat, Resource Configuration), Knowledge Recommendation, Intelligent Writing Assistant, Document Intelligence Review, Smart Chain Workshop (for agent integration), and System Management. The platform supports multiple file formats including Word, PDF, TXT, Excel, DWG, PNG, JPG, and integrates with databases like MySQL and Oracle.
qKnow is designed for enterprises and organizations seeking to build structured, queryable, and inferable knowledge systems. It targets developers, partners, knowledge administrators, domain experts, and business users who need intelligent knowledge management, semantic search, intelligent Q&A, and AI agent capabilities. The platform is suitable for industries requiring knowledge intelligence and AI applications, including education (with a dedicated Education Edition).
The platform leverages Large Language Model (LLM) technology for semantic understanding, knowledge extraction, knowledge fusion, and knowledge reasoning. It supports custom Embedding models, hybrid retrieval strategies, and seamless integration with AI platforms like Dify for intelligent agent workflows. qKnow adopts a modular design with clear, highly extensible architecture, making it ready-to-use and flexible to configure.
Qknow pricing
Pricing model: Freemium
qKnow offers an Open-Source Edition that is free and includes core features: System Management (User Management, Role Management, Menu Management, Department Management, Position Management, Dictionary Management, Parameter Settings, Notifications & Announcements, Log Management), Knowledge Graph features (Graph Exploration, Knowledge Center, Knowledge Extraction with DeepKE tool, Data Source Management supporting MySQL and Oracle), Online Documentation, and Source Code Updates. The Commercial Edition includes all features: multi-knowledge graph management, Knowledge Base module (with settings, file parsing, recall testing), Knowledge Q&A (AI Chat with multi-knowledge source selection), Knowledge Recommendation, Intelligent Writing Assistant, Document Intelligence Review, Smart Chain Workshop for agent integration, Knowledge Fusion, Knowledge Reasoning,支持 Dameng and Kingbase databases, enterprise-grade technical support with SLA, and dedicated technical contacts. An Education Edition offers a Free 1-Year Subscription to qKnow Commercial SaaS Service with a dedicated online environment for education users. Specific pricing for Commercial Edition is not publicly disclosed and requires contacting the company.
Qknow pros
- Open-source core platform with free edition available
- Comprehensive knowledge graph capabilities including extraction, fusion, and reasoning
- Supports both structured and unstructured data extraction
- Visual interface for graph exploration and real-time editing
- Multi-format file support (Word, PDF, TXT, Excel, DWG, PNG, JPG)
- Integration with mainstream databases (MySQL, Oracle)
- LLM integration for semantic understanding and intelligent features
- Custom Embedding model support for industry terminology
- Three retrieval modes: vector, full-text, and hybrid
- Multi-turn dialogue with context understanding and follow-up suggestions
- Citation in responses for traceable and verifiable answers
- Smart Chain Workshop for seamless AI agent integration with Dify
- Intelligent Writing Assistant with template customization
- Role-Based Access Control (RBAC) with fine-grained permissions
- Comprehensive system management including user, role, menu, department management
- Online documentation with deployment, operations, APIs, and best practices
- Supports parallel management of multiple knowledge graphs (Commercial Edition)
- Knowledge recommendation based on popular, followed, and latest content
- Document intelligence review with grammar correction and compliance checking
- Recall testing for evaluating knowledge base retrieval effectiveness
Qknow cons
- Open-source edition supports only a single knowledge graph
- Knowledge fusion feature not included in open-source edition
- Knowledge reasoning feature not included in open-source edition
- Knowledge Base module features not available in open-source edition
- Knowledge Q&A AI Chat not included in open-source edition
- Knowledge Recommendation feature not included in open-source edition
- Intelligent Writing Assistant not included in open-source edition
- Document Intelligence Review not included in open-source edition
- Open-source edition uses DeepKE open-source tool for extraction (limited)
- Open-source edition only supports MySQL and Oracle (not Dameng or Kingbase)
- Technical support for open-source edition relies on community Issues only
- Commercial Edition required for full enterprise features
- No clear pricing information publicly available for Commercial Edition
- Primary documentation and interface in Chinese
- Learning curve for knowledge graph concepts and configuration
Frequently asked questions about Qknow
Can qKnow integrate with large language models (LLMs)?
Yes. qKnow supports integration with LLMs such as ChatGPT, Qwen, and others to enable semantic understanding, knowledge extraction, knowledge fusion, knowledge reasoning, and intelligent Q&A. The platform leverages advanced LLM technology to significantly enhance understanding and processing of both structured and unstructured data, enabling more intelligent and efficient knowledge extraction and semantic integration.
What data sources does qKnow support?
qKnow supports multiple data sources including unstructured documents (Word, PDF, TXT, Excel, DWG, PNG, JPG, PPT), structured databases (MySQL, Oracle in open-source edition; MySQL, Oracle, Dameng/DM8, Kingbase/Renmin Jinshan in commercial edition), and web content. The Data Source Management module provides visual connection configuration for database type, IP/port, account/password, and connection pool settings.
What is the difference between Open-Source and Commercial Edition?
The Open-Source Edition includes System Management, Graph Exploration, Knowledge Center, Knowledge Extraction (using DeepKE), Data Source Management (MySQL, Oracle only), Online Documentation, and Source Code Updates. It supports only a single knowledge graph and relies on community support via Issues. The Commercial Edition includes all eight core modules: multi-knowledge graph management, Knowledge Base with advanced features, Knowledge Q&A with AI Chat, Knowledge Recommendation, Intelligent Writing Assistant, Document Intelligence Review, Smart Chain Workshop, Knowledge Fusion, Knowledge Reasoning, support for Dameng and Kingbase databases, and enterprise-grade technical support with SLA.
How does knowledge extraction work in qKnow?
Knowledge extraction in qKnow includes four modules: Concept Definition (custom business entity types and attribute systems), Relationship Configuration (defining relation types and semantic constraints), Structured Extraction (connecting to databases and mapping fields to concepts/attributes/relationships), and Unstructured Extraction (using NLP and large models to automatically recognize entities, events, and relationships from text files or web content). The workflow involves creating tasks, importing files or data tables, executing extraction, reviewing results, and publishing to the knowledge graph.
What retrieval modes are available in qKnow?
qKnow supports three retrieval modes: vector retrieval (semantic similarity-based), full-text retrieval (keyword matching), and hybrid retrieval (combining semantic + keyword fusion strategy). The default is hybrid retrieval for enhanced recall rate and relevance for complex queries. Users can flexibly configure retrieval mode per scenario and adjust parameters like similarity threshold and top-K return count during recall testing.
Can qKnow be used for intelligent Q&A?
Yes, the Commercial Edition includes Knowledge Q&A with AI Chat that deeply integrates LLMs with enterprise multi-source knowledge assets. Users can select one or more knowledge bases and knowledge graphs as answer sources before chatting, enabling precise responses based on relevant knowledge context. Features include multi-turn dialogue suggestions, related resource recommendations, and citation in responses with labels showing knowledge sources for traceability.
How does knowledge fusion work in qKnow?
Knowledge fusion leverages LLM semantic understanding to intelligently identify duplicate or similar entities and relations from multiple sources. It includes Duplicate Knowledge Identification (automatically scanning for similar names, attributes, or overlapping connections), Manual Review & Confirmation (visual comparison interface), Duplicate Item Merging (one-click merging with automatic attribute preservation), Non-Duplicate Retention (marking review outcomes), and Operation Audit & Traceability. This implements an 'AI detection + human oversight' collaborative governance model.
Is there an education version of qKnow?
Yes, qKnow offers an Education Edition that provides a Free 1-Year Subscription to qKnow Commercial SaaS Service. It offers a dedicated online environment for education users, accessible directly via browser without deployment. This edition is designed specifically for educational institutions and users.
Can qKnow integrate with external AI agents?
Yes, through the Smart Chain Workshop module (Commercial Edition only), qKnow supports seamless integration of external AI agents. Users can integrate intelligent workflows built on low-code AI platforms like Dify via API or plugin without redevelopment. The module supports Agent Application Integration, Dynamic Input Parameter Adjustment with visual editing, and Agent Configuration for securely storing API-Keys with hierarchical permission control.
What support options are available for qKnow?
The Open-Source Edition relies on community support via Issues on the repository. The Commercial Edition offers enterprise-grade technical support services including dedicated technical contacts, SLA-backed support, and 7x24 or 5x8 availability. Users can also join the official QQ group (scan QR code at bottom-right of the community page) for community groups and contact methods. The company can be contacted at 400-660-8208.