Articsledge FAQ Chatbot is a complete, functional AI-powered question-answering system built with Python Flask and vanilla JavaScript. You receive a production-ready application that uses sentence transformers for intelligent semantic matching, enabling natural language understanding of user queries. The system includes fallback keyword matching to ensure accurate answers even when semantic confidence is lower, transparent confidence scoring for every response, and organized FAQ categories for easy browsing.
The application includes a fully implemented backend API with seven endpoints for chat messaging, FAQ retrieval, category filtering, search functionality, and conversation management. The frontend delivers a modern, responsive chat interface with real-time messaging, typing indicators, quick question buttons, and a collapsible topics sidebar. You can customize every aspect through simple JSON editing for FAQs, CSS variables for styling, and configuration files for deployment settings. The system comes pre-loaded with 33 FAQs and comprehensive documentation including installation guides, API documentation, customization instructions, and troubleshooting resources.
Built for businesses and agencies requiring automated customer support, the chatbot handles session tracking, sanitizes inputs to prevent security vulnerabilities, implements CORS for cross-origin requests, and provides detailed logging throughout. Technical requirements include Python 3.8 or higher, basic command-line familiarity, and approximately 500MB RAM for the machine learning model. First-time model loading takes five to ten minutes, after which response times average two to three seconds. You can deploy locally for testing or configure for production environments using included Gunicorn support and reverse proxy guidance.
IMPORTANT NOTE: This is a complete, functional application with all features implemented and documented. It has undergone development testing but has not been deployed in a live production environment. Buyers should expect to perform their own integration testing, customization, and may need to address minor issues specific to their environment. Basic Python knowledge and technical familiarity are required for setup and deployment.
You can modify the application for your business needs, build new products on top of it, and operate it as a commercial SaaS service. You may not open-source, resell, redistribute, or use it to create competing products.
NO REFUNDS: Due to the digital nature, all sales are final.