- Consulting services
Generative AI for Technical Documents
The purpose of this offer is to showcase a Generative AI-powered Knowledge Management System (KMS) designed to enhance the analysis, retrieval, and utilization of industrial documentation.
This solution provides a comprehensive overview of a Generative AI-powered solution designed to transform the management of industrial documentation.
This solution simplifies extracting, summarizing, and analyzing extensive industrial documents, including user manuals, operating procedures, and specifications stored across multiple repositories.
Key Features:
Document Upload & Knowledge Base Expansion: Seamless ingestion of existing and new documents into the knowledge management system for dynamic updates.
Versatile Content Retrieval: Advanced search capabilities to quickly locate simple and complex information.
Intelligent Answer Generation: AI-powered responses are structured and sourced directly from reliable documents.
Source Referencing: Transparent linking of responses to original document sources for credibility.
Prompt Engineering: Enhanced query understanding for clean, accurate, and well-structured answers.
Automated Response Cleaning: Ensures responses are reader-friendly and professional.
User-Friendly Interface: Features include automated chat naming, chat exports, response feedback, and a streamlined chat search tool.
Solution Architecture : Frontend: A web-based user interface enabling chat functionality and knowledge interaction. Backend: Powered by Azure AI Services to ensure robust processing and accurate insights.
Technology Stack: Utilizes Azure AI services for natural language processing and intelligent automation, integrated with a scalable backend and user-friendly frontend for seamless operations.
Execution Plan: Stage 1: Data Collection and Preparation (0-1 weeks) Collect documents, diagrams, and tables for training.
Stage 2: Model Fine-Tuning (1-2 weeks) Train the model using Generative AI tools (e.g., GPT models).
Stage 3: Prototype Development (1-2 weeks) Build an interactive system with query and summarization capabilities.
Stage 4: Deployment and Feedback (1 week) Deploy the system and gather client feedback for improvements.
Value Proposition : This AI-driven approach provides a scalable and innovative solution to the challenges of industrial knowledge management. It empowers teams to focus on critical operations by minimizing the time spent on tedious documentation searches and improving the accuracy of decision-making processes.