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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.