Features Checklist

✅ Implemented Features

Core Features

• PDF Parsing Service

  • PDF text extraction
  • Table extraction
  • Schema/diagram extraction
  • Image extraction
  • Coordinate mapping for parts

• AI-Powered Search

  • LLaMA 3.1 8B integration with vLLM
  • RAG (Retrieval-Augmented Generation) pipeline
  • Semantic text search
  • Vector similarity search
  • Hybrid search (vector + metadata filters)

• Image Vectorization

  • CLIP service for image embeddings
  • Visual search capability
  • Cross-modal search (text ↔ image)
  • Support for OpenAI CLIP and Open CLIP/LAION models

• Vector Database

  • Weaviate integration
  • Document storage with embeddings
  • Part image storage with CLIP embeddings
  • Metadata filtering
  • Event sourcing for audit trail

• Data Pipeline

  • D1: Data collection from GCS
  • D2: Data processing (parsing, embeddings)
  • D3: Storage in Weaviate
  • MLflow integration for tracking

• Frontend Interface

  • React-based chat interface
  • PDF viewer with part coordinates
  • Parts table display
  • Interactive linking (click parts in PDF to search)

• Barcode Detection (Optional)

  • Barcode/QR code detection
  • Extraction from images

Deployment & Infrastructure

• GCP Deployment

  • Cloud Run deployment for services
  • GPU VM deployment for CLIP and Weaviate services
  • GCS integration for document storage
  • Automated build and deployment scripts

• Monitoring & Tracking

  • MLflow for pipeline tracking
  • Event sourcing in Weaviate
  • Health check endpoints
  • Grafana integration (optional)

Testing

• CLIP Service Tests
  • Unit tests for model loading
  • Local integration tests
  • Remote integration tests
  • Health check tests
  • Embedding generation tests

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🚧 Features to Implement

High Priority

• Enhanced Search Filters

  • Price range filtering
  • Stock availability filtering
  • Manufacturer/model filters with autocomplete
  • Category-based filtering
  • Part number exact match

• User Authentication & Authorization

  • User login/signup
  • Role-based access control (admin, user)
  • API key management
  • Session management

• Admin Panel Enhancements

  • Bulk PDF upload
  • Batch processing status dashboard
  • Data quality metrics
  • Part metadata editor

• Recommendation System

  • Frequently bought together
  • Compatible parts suggestions
  • Replacement parts recommendations
  • Related parts discovery

Medium Priority

• Advanced Analytics

  • Search analytics dashboard
  • Popular parts tracking
  • Query performance metrics
  • User behavior analytics

• Multi-language Support

  • Internationalization (i18n)
  • Multi-language document processing
  • Translation capabilities

• Mobile Application

  • iOS app
  • Android app
  • Mobile-optimized search
  • Camera integration for part photos

• Export Capabilities

  • Export search results to CSV/Excel
  • PDF report generation
  • Email sharing
  • Print-friendly views

Low Priority

• Advanced AI Features

  • Fine-tuned models for specific manufacturers
  • Custom model training pipeline
  • Model versioning and A/B testing
  • Multi-modal reasoning

• Integration Enhancements

  • ERP system integration
  • Inventory management integration
  • E-commerce platform integration
  • Linear.app enhanced integration

• Performance Optimization

  • Caching layer (Redis)
  • CDN for static assets
  • Database query optimization
  • Image optimization and compression

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📊 Model Information

Currently Used Models

1. LLaMA 3.1 8B

   • Purpose: Natural language generation for chat responses
   • Deployment: TPU (recommended) or GPU VM with vLLM
   • Provider: Meta (via Hugging Face)

2. BGE-Large (BAAI/bge-large-en-v1.5)

   • Purpose: Text embeddings for semantic search
   • Dimension: 1024
   • Provider: BAAI

3. CLIP (openai/clip-vit-base-patch32)

   • Purpose: Image embeddings for visual search
   • Dimension: 512
   • Provider: OpenAI

4. CLIP-ViT-L-14 (laion/CLIP-ViT-L-14)

   • Purpose: High-quality image embeddings
   • Dimension: 768
   • Provider: LAION/Open CLIP

5. Open CLIP Models

   • Purpose: Alternative CLIP models for image embeddings
   • Support for various model sizes and configurations

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🎯 Marketing Features

Value Propositions

• ✅ 15-second parts search (vs 15 minutes traditional)
• ✅ AI-powered semantic search for natural language queries
• ✅ Visual search by uploading part photos
• ✅ Cross-modal search (text ↔ image)
• ✅ Accurate part identification with coordinates in PDFs
• ✅ Scalable infrastructure on GCP
• ✅ Real-time search with low latency

Competitive Advantages

• ✅ Multi-modal AI capabilities (text + image)
• ✅ Production-ready deployment on cloud
• ✅ Comprehensive pipeline from PDF to search
• ✅ Event sourcing for audit and compliance
• ✅ Extensible architecture for future enhancements