Revolutionary Retrieval-Augmented Generation Technology
Advanced RAG Platform
Powerful content management system with semantic search and AI-powered content generation capabilities. Integrates Django, React, and cutting-edge machine learning technologies for building intelligent applications.
Key Project Metrics
Core Platform Features
Complete technology stack for intelligent search
Vector Search
High-performance semantic search using vector embeddings stored in Milvus
RAG Generation
Context-aware response generation using retrieved content
Hierarchical Structure
Flexible content organization with support for complex data structures
Multi-modal Content
Support for text, video, images, and other content types
AI Integration
Dual AI engine support: GigaChat and Ollama for different scenarios
Production-Ready
Complete monitoring, error tracking, and performance optimization
Deployment Architecture
Local Development
Docker Compose for quick development start with all required services
Single-Host Deployment
All services on one server with automatic SSL setup via Let's Encrypt
Multi-Host Deployment
Service separation, load balancing with Traefik and horizontal scaling
Production Monitoring
OpenTelemetry tracing, Prometheus metrics, and Sentry error tracking
Use Cases
Where RAG platform is applied
“Perfect for managing large volumes of documentation with intelligent search and automated response generation for queries.”
Enterprise Systems
“Knowledge base with semantic search, material organization, and automated response generation for common questions.”
Knowledge Management
“Large-scale document processing, intelligent content discovery and recommendations based on semantic understanding.”
Document Processing
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