{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c9557f3c08d94bb7a855eb802c0f9895\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c9557f3c08d94bb7a855eb802c0f9895-99ef98a0d86c0e82.gif","duration":322.07,"title":"Advanced RAG Chatbot for E-Commerce Solutions","description":"In this demo video, I showcase the rag agent I developed for a client in the e-commerce space, utilizing Voiceflow for conversation design and a backend powered by AI for data handling. The chatbot addresses two main user intents: answering FAQs and providing live product recommendations in a dynamic gallery format. I emphasize the importance of context in our industry, particularly for a client in the aesthetic clinic sector, which requires detailed product information. Additionally, I demonstrate how the bot can compare our products with competitors, offering users clear insights. Please take a look at the functionalities and let me know your thoughts!"}