<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/c9557f3c08d94bb7a855eb802c0f9895&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c9557f3c08d94bb7a855eb802c0f9895-99ef98a0d86c0e82.gif</thumbnail_url><duration>322.07</duration><title>Advanced RAG Chatbot for E-Commerce Solutions</title><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!</description></oembed>