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  1. This version allows you to generate various types of reports through a conversational interface. We use RAG (Retrieval-Augmented Generation) and an AI agent to enable this functionality. What is RAG? RAG (Retrieval-Augmented Generation) is an AI technique that combines a language model with a search system. When you ask a question or request a report, the model first retrieves relevant information from a knowledge base or database. Then, it uses that information to generate a precise and context-aware response. This makes reports more accurate and aligned with real-time data. What is an AI Agent? An AI agent acts as an intelligent assistant that understands your requests and dynamically builds the query or report you need. Based on your input, the agent figures out what kind of data to fetch and how to present it — without you needing to manually define complex filters or SQL. Example Usage: You simply type your request inside the chat — for example, "give me the total stock, the alert stock by categories and products" The agent understands your intent, retrieves the necessary data, and builds the report automatically using RAG. below an image what we can do : Development Status The development is well on the road, and we’ve focused on optimization to make the experience fast and smooth. You just need to type your request, and the system takes care of the rest.
  2. For over two years, ClicShopping AI has been integrating generative AI using OpenAI, Anthropic, and Ollama. While the V3.x release incorporated AI without requiring fundamental changes to the core application or underlying technologies, the upcoming V4 takes a major leap forward with deeper AI integration and enhanced functionalities. MariaDB with RAG: A Game Changer for AI-Driven E-Commerce for PHP aplication MariaDB has recently introduced a version with built-in Retrieval-Augmented Generation (RAG), leveraging OpenAI for intelligent search and contextual understanding. This upgrade enables databases to create vector embeddings, allowing for advanced semantic search capabilities that link structured and unstructured data. ClicShopping AI V4 seamlessly integrates MariaDB’s RAG with its PHP-based framework, empowering merchants with AI-powered data retrieval. The system can process vast datasets, enabling real-time insights and intelligent automation through a chatbot-driven interface. Advanced AI-Powered Features for Merchants ClicShopping AI V4 enhances the merchant experience with context-aware search and AI-driven analytics. Key capabilities will be includes (most of them): ✔ Intelligent Stock Monitoring – Instantly check which products are running low. ✔ Advanced Product Lookup – Retrieve products by reference, attributes, or even vague descriptions. ✔ Automated Customer Insights – AI-driven analysis of purchasing patterns and customer preferences. ✔ Smart Recommendations – Suggests relevant products based on user behavior and search history. and more. If no exact match is found, the chatbot dynamically returns the closest relevant result, ensuring an intuitive and efficient user experience. Currently, very few PHP e-commerce solutions natively integrate generative AI and RAG technology. ClicShopping AI is the first PHP solution to pioneer this innovation, redefining how merchants interact with their data. Enhanced Security with AES-256 Encryption Security remains a top priority. The next release will introduce dynamic AES-256 encryption for sensitive data stored within the platform. This ensures: 🔐 End-to-End Encryption – Protects customer and transaction data. 🔐 Adaptive Key Management – Rotates encryption keys dynamically for enhanced security. 🔐 Compliance-Ready Protection – Meets industry standards for data privacy and security. Try the Development Version Today ClicShopping AI V4 is at the forefront of AI-driven e-commerce solutions. Be among the first to explore its capabilities! ⚡ System Requirements (recommended): MariaDB 11.6 (with RAG support) PHP 8.4 Stay ahead of the curve—embrace the future of AI-powered e-commerce with ClicShopping AI V4!
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