WeKnora Features

WeKnora provides a comprehensive set of features for document understanding, semantic retrieval, and intelligent question-answering. Explore the capabilities that make WeKnora a powerful RAG framework.

📚 Deep Document Understanding

WeKnora's document understanding engine can parse and analyze documents in various formats, extracting structured information and building semantic representations.

Supported Formats

• PDF documents with text and image extraction
• Microsoft Word (.docx) files
• Markdown files with structure preservation
• Plain text files
• HTML and web content
• URL-based document import

Key Capabilities

• Automatic Structure Detection: Identifies document hierarchies, sections, and subsections
• Content Extraction: Extracts text, tables, and metadata from documents
• Chunking Strategies: Intelligent document chunking for optimal retrieval
• Batch Processing: Process multiple documents simultaneously
• Progress Tracking: Real-time status updates for document processing
• Tag Management: Organize documents with custom tags

🔍 Semantic Retrieval Engine

WeKnora uses advanced vector search and semantic retrieval to find relevant information based on meaning, not just keywords. This enables more accurate and contextually relevant search results.

Retrieval Features

• Vector Embeddings: Converts text into high-dimensional vectors for semantic search
• Similarity Search: Finds documents and chunks based on semantic similarity
• Hybrid Search: Combines semantic and keyword-based retrieval
• Reranking: Advanced reranking algorithms to improve precision
• Threshold Control: Configurable retrieval thresholds for quality control
• Cross-Knowledge Base Search: Search across multiple knowledge bases simultaneously

Performance Optimizations

• High-performance vector database integration
• Efficient indexing and querying
• Scalable architecture for large document collections
• Fast retrieval even with millions of documents

🤖 Agent Mode & Tool Integration

WeKnora supports ReACT (Reasoning and Acting) Agent mode, enabling intelligent agents that can use tools, retrieve information, and provide comprehensive answers through multiple iterations.

Agent Capabilities

• ReACT Pattern: Reasoning and acting in loops for complex problem-solving
• Built-in Tools: Knowledge base retrieval tools integrated into the agent
• MCP Tool Integration: Connect to external tools via Model Context Protocol
• Web Search: Enable web search capabilities for real-time information
• Multi-iteration Reasoning: Agents can reflect and refine their answers
• Tool Call Visualization: See the agent's tool usage process

Tool Ecosystem

• Knowledge base retrieval tools
• MCP server tool integration
• Web search tools
• Custom tool development support

📊 Knowledge Graph Generation

WeKnora can transform documents into knowledge graphs, displaying relationships between different sections. This provides structured support for indexing and retrieval while helping users understand document content.

Knowledge Graph Features

• Relationship Extraction: Automatically identifies relationships between document sections
• Semantic Association Network: Builds internal semantic connections
• Visual Representation: Interactive graph visualization
• Enhanced Retrieval: Uses graph structure to improve search relevance
• Contextual Understanding: Better understanding of document structure and flow

🌐 Multi-tenant Architecture

WeKnora is built with multi-tenant support, allowing multiple organizations to use the platform securely and independently.

Multi-tenant Features

• Isolated Knowledge Bases: Each tenant has isolated data and knowledge bases
• User Management: Per-tenant user accounts and permissions
• Resource Isolation: Complete separation of resources between tenants
• Scalable Design: Architecture supports thousands of tenants
• Security: Built-in security measures for data protection

🔌 MCP Server Integration

WeKnora provides seamless integration with MCP (Model Context Protocol) servers, enabling extended functionality and access to external tools and services.

MCP Features

• Easy Configuration: Simple setup through configuration files
• Tool Access: Access external tools via MCP protocol
• Standard Protocol: Compatible with MCP-compliant servers
• Python Integration: Python-based MCP server support
• API Key Management: Secure API key handling

💬 Conversation Management

WeKnora provides powerful conversation management features for building interactive Q&A systems.

Conversation Features

• Multi-turn Conversations: Support for context-aware multi-turn dialogues
• Conversation History: Maintain conversation context across turns
• Mode Switching: Toggle between Agent mode and normal mode
• Model Selection: Choose different LLM models per conversation
• Prompt Customization: Configure custom prompts for different use cases
• Retrieval Control: Fine-tune retrieval thresholds and strategies

🎨 Web UI Interface

WeKnora includes a modern, intuitive web interface built with Vue.js for managing knowledge bases and interacting with the system.

UI Features

• Knowledge Base Management: Create and manage multiple knowledge bases
• Document Upload: Drag-and-drop, folder import, and URL import
• Conversation Interface: Interactive chat interface for Q&A
• Settings Configuration: Web-based model and prompt configuration
• Progress Tracking: Real-time document processing status
• Tag Management: Organize documents with tags
• Online Entry: Create and edit knowledge entries directly in the UI

🔧 Developer Features

WeKnora provides comprehensive tools and features for developers.

Development Tools

• RESTful API: Complete API for programmatic access
• Go Client Library: Official Go client for easy integration
• Hot Reload: Fast development mode with hot reload support
• Docker Support: Containerized deployment with Docker Compose
• Kubernetes Helm Charts: Production-ready Kubernetes deployment
• Distributed Tracing: Jaeger integration for observability
• Database Migrations: Automated database schema management

🚀 Performance & Scalability

WeKnora is designed for performance and can scale to handle enterprise workloads.

Performance Features

• High Throughput: Process thousands of documents efficiently
• Fast Retrieval: Sub-second search response times
• Scalable Architecture: Horizontal scaling support
• Efficient Indexing: Optimized vector indexing algorithms
• Resource Optimization: Efficient memory and CPU usage

🔒 Security & Privacy

WeKnora includes built-in security features to protect your data.

Security Features

• API Key Authentication: Secure API access with keys
• User Authentication: User registration and login system
• Data Isolation: Multi-tenant data separation
• Secure Storage: Encrypted data storage

Get Started with Features

Ready to explore WeKnora's features? Start by setting up your first knowledge base and experiencing these capabilities firsthand.

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