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An intelligent financial assistant that helps users analyze and understand their expenses through natural language conversations. Built with Flask and powered by AI, this application implements Retrieval Augmented Generation (RAG) using LLMs to provide accurate, context-aware responses about your financial data.
This is an AI-powered chatbot designed for Katalix Solutions, built using IBM Watsonx Assistant. The assistant leverages the power of Watsonx's Actions to interact with users and provide contextual, accurate, and automated responses.
This simple application just calculates the sum of two numbers through the value of two numbers sent in a request by the user. The purpose is to use this application as an example of teaching how to create custom extensions on IBM's Watsonx Assistant.