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Sm@rtGear IE

Smarter Power Distribution. Zero Disruption. Total Visibility. Sm@rtGear IE is an intelligent power distribution solution designed for the demands of industrial environments with real-time monitoring, predictive diagnostics, and remote-control capabilities.

Sm@rtGear® AI

SmartGear X AI

Intelligent Document Processing Assistant for Enhanced Operations

An AI-powered system designed to search, process, and analyze electrical infrastructure documentation with advanced natural language processing capabilities.

Overview

SmartGear X AI is a comprehensive artificial intelligence solution that serves as an intelligent document processing assistant for electrical infrastructure management.

With its advanced Retrieval Augmented Generation (RAG) capabilities, users can upload technical documents, ask natural language questions, and receive precise answers based on the processed documentation, making technical knowledge accessible to both experts and non-specialists.

Key Features

  • Document Upload & Processing - Support for PDF, Word, Excel, PowerPoint with intelligent chunking and OCR
  • RAG-Based Question Answering - Advanced retrieval augmented generation for accurate document-based responses
  • Multi-Modal AI Interface - Text input, voice-to-text (VOSK), and conversational chat interface
  • Real-time Chat History - Redis-based chat memory with conversation context preservation
  • Vector Search Engine - ChromaDB integration with sentence transformers for semantic document search
  • Query Refinement - Intelligent query processing and conversation-based query enhancement
  • Offline Mode Support - Local AI models (all-MiniLM-L6-v2, ms-marco-MiniLM-L-6-v2) for secure environments
  • Document Screenshot Service - Visual document analysis and screenshot generation capabilities
  • Auto-Expiring Collections - Automated cleanup of temporary uploads and document collections
  • Feedback Management System - User feedback collection and prompt management for continuous improvement
  • Multi-Language Support - English and German localization with extensible i18n framework

Use Cases

  • Upload and analyze technical documentation (PDFs, Word docs, presentations) for electrical systems
  • Ask natural language questions about uploaded documents and receive contextual answers
  • Voice-enabled queries using speech-to-text technology for hands-free operation
  • Troubleshooting support with AI-guided recommendations based on documentation
  • Knowledge extraction and semantic search across multiple technical documents
  • Training and onboarding with interactive document-based Q&A sessions
  • Maintenance procedure guidance through conversational AI interface
  • Document analysis and content summarization for quick information retrieval
  • Multi-language document processing for international operations
  • Secure offline document processing for sensitive or classified materials

Benefits

  • Enhanced Document Accessibility: Transform static documents into interactive, searchable knowledge bases
  • Rapid Information Retrieval: Find specific information across multiple documents in seconds
  • Improved Training Efficiency: Interactive learning through document-based conversations
  • Reduced Research Time: Eliminate manual document searching with AI-powered semantic search
  • Voice-Enabled Operation: Hands-free querying for field operations and maintenance tasks
  • Secure Processing: Offline mode ensures sensitive documents remain on-premises
  • Multi-Format Support: Process various document types (PDF, Word, Excel, PowerPoint) seamlessly
  • Conversation Memory: Maintain context across multiple queries for natural interactions
  • Cost-Effective Knowledge Management: Reduce dependency on expert consultations for routine queries
  • 24/7 Availability: Round-the-clock access to technical knowledge without human intervention

Components and Features

  • Frontend Application (Angular 18) - Modern web interface with responsive design and real-time chat capabilities
  • AI Engine Backend (Python Flask) - High-performance document processing with RAG implementation
  • Document Processing Pipeline - Multi-format document support with OCR and intelligent chunking
  • Vector Database (ChromaDB) - Semantic search with sentence transformers
  • Chat Memory System (Redis) - Persistent conversation history and context management
  • Voice Processing (VOSK) - Speech-to-text capabilities for hands-free operation
  • PostgreSQL Database - Structured data storage for document metadata and user management
  • Docker Containerization - Scalable deployment with container orchestration
  • Security & Authentication - Comprehensive access control and data protection

User Management

User Interface Features

  • Chat Interface - Real-time conversational interface with typing indicators and message history
  • Document Upload - Drag-and-drop file upload with progress tracking and validation
  • Voice Input - Speech-to-text with visual sound wave animation and recording controls
  • Multi-Language Support - Interface available in English and German
  • Responsive Design - Optimized for desktop and mobile devices

Document Management

Document Operations

  • File Upload - Support for PDF, Word (.docx), Excel (.xlsx), PowerPoint (.pptx) files
  • Document Processing - Automatic OCR, text extraction, and intelligent chunking
  • Collection Management - Organize documents into named collections for better organization
  • Search & Retrieval - Semantic search across all uploaded documents with relevance scoring
  • Auto-Expiration - Configurable automatic cleanup of temporary documents and collections
  • Document Screenshot - Visual document analysis and screenshot generation for context

Supported File Types

  • PDF Documents - Full text extraction with OCR for scanned documents
  • Microsoft Word - Text and formatting extraction from .docx files
  • Microsoft Excel - Spreadsheet data extraction and analysis
  • Microsoft PowerPoint - Slide content and presentation text extraction
  • Image Processing - OCR capabilities for text extraction from images within documents

AI Configuration

RAG (Retrieval Augmented Generation) Settings

  • Embedding Models - Local sentence transformers (all-MiniLM-L6-v2, ms-marco-MiniLM-L-6-v2)
  • Retrieval Parameters - Configurable chunk size, overlap, and similarity thresholds
  • Response Generation - Support for multiple LLM providers (OpenAI, AWS Bedrock)
  • Query Refinement - Conversation-based query enhancement and context preservation

Integration

  • Docker Container Architecture - Microservices deployment with Docker Compose
  • RESTful API Integration - Standard HTTP APIs for external system integration
  • Database Connectivity - PostgreSQL for structured data, Redis for caching and sessions
  • Vector Database Integration - ChromaDB for semantic search and document retrieval
  • Cloud Provider Support - AWS Bedrock integration for enhanced LLM capabilities
  • Health Check Endpoints - Monitoring and health verification for all services
  • CORS Support - Cross-origin resource sharing for web application integration

Support and Contact

Technical Support

Contact our expert technical team to learn more about implementing SmartGear X AI in your facility or to receive assistance with system configuration and optimization.

Contact Technical Support

Contact us