video1.0<iframe src="https://www.loom.com/embed/d319b4a3610342b7af19fecb22cf8843" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/d319b4a3610342b7af19fecb22cf8843-1697228162286.gif456.39000000000004In this tutorial, I will guide you through the process of building a chat interface using no-code AI tools. We will create a chatbot that can directly interact with PDF documents, allowing users to ask questions and receive answers based on the information in the documents. I will demonstrate how to load and chunk the text of the documents, run them through an embedding model, and save the vectors in a vector database. We will also explore semantic search and how to provide concise and cheerful responses to user queries. By the end of this tutorial, you will have a powerful chat interface that can be easily customized and expanded upon.