Project Overview
The Brand Specialized Agent System is designed specifically for top luxury brands like Valentino and GUCCI. Using RAG (Retrieval-Augmented Generation) technology to build professional knowledge bases, it provides intelligent Q&A services for operations teams regarding project data, technical details, and release plans. The system deeply integrates brand historical project materials and accurately understands and answers complex business queries.
Core Features
- Intelligent Knowledge Base: Integrates all brand project documents, technical specifications, and release plans
- Natural Language Queries: Supports Chinese and English natural language questions
- Context Understanding: Understands complex query contexts and provides precise answers
- Multi-dimensional Retrieval: Quick retrieval by project, time, technical type, and other dimensions
- Permission Management: Controls information access based on user roles
- Learning Optimization: Continuously improves answer quality based on user feedback
Technical Architecture
Knowledge Processing:
- Document parsing: Supports multiple formats including PDF, Word, Excel
- Semantic segmentation: Intelligently segments documents while maintaining context integrity
- Vector storage: Uses ChromaDB for efficient vector retrieval
RAG Engine:
- LangChain framework for building retrieval-augmented generation pipeline
- Hybrid retrieval: Combines keyword and semantic search
- Answer generation: Generates accurate responses based on retrieved content
System Integration:
- FastAPI provides high-performance API services
- React frontend provides user-friendly interaction interface
- Elasticsearch supports full-text search
- PostgreSQL stores user interaction data
Professional Customization
Valentino Specialized Version:
- Integrates brand historical product line data
- Fashion week release schedule queries
- Supplier and material technical specifications
- Marketing campaign timelines
GUCCI Specialized Version:
- Product series technical parameters
- Retail strategies and channel information
- Brand collaboration project archives
- Designer creative concept records
Workflow Process
- Knowledge Base Construction: Import brand project documents and historical materials
- Data Preprocessing: Clean, segment, and vectorize processing
- Model Training: Fine-tune models based on brand-specific data
- Intelligent Q&A: Users ask questions, system retrieves and generates answers
- Feedback Optimization: Collect user feedback and continuously improve the system
Innovation Highlights
- Deep Brand Customization: Deeply customized for each brand’s characteristics and needs
- Multi-language Support: Supports queries in Chinese, English, French, Italian, and other languages
- Real-time Updates: New project information synchronized to knowledge base in real-time
- Intelligent Recommendations: Proactively recommends relevant information and similar projects
- Visual Display: Complex data presented intuitively in chart formats
Business Value
- Efficiency Enhancement: Quick access to project information, reducing query time
- Knowledge Management: Systematic organization and utilization of brand knowledge assets
- Decision Support: Provides data support for business decisions
- Team Collaboration: Promotes cross-departmental information sharing and collaboration
- New Employee Training: Quickly understand brand history and project situations