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

16
Content Block Types
2
AI Engines (GigaChat, Ollama)
35+
Database migrations
23+
Test modules

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

Flexible deployment options for any scale

  1. 01

    Local Development

    Docker Compose for quick development start with all required services

  2. 02

    Single-Host Deployment

    All services on one server with automatic SSL setup via Let's Encrypt

  3. 03

    Multi-Host Deployment

    Service separation, load balancing with Traefik and horizontal scaling

  4. 04

    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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