Embark on a journey to build AI-powered applications using LangChain and GPT-4o Mini in this hands-on, interactive video. Learn how to create a specialized chatbot that utilizes scikit-learn documentation to answer complex questions with precision. This course guides you through every step—from installation to data preparation—while covering essential topics such as embedding documentation with OpenAI's Embed API, estimating embedding costs, and efficiently storing embeddings in a vector database. You’ll gain practical experience querying the database, managing document chunks and tokens, and using LangGraph to develop a responsive chat interface. By the end of the course, you will have the skills to build a fully functional AI chatbot that provides accurate, real-time answers, and learn how to optimize processing efficiency and chatbot performance throughout the development process. Create your own DataLab workbook for this code along: (https://www.datacamp.com/datalab/new?accountType=personal&_tag=workspace&workspaceId=4512740d-5cea-410a-8b35-df1da9f88b77&title=Building%20AI%20Applications%20with%20LangChain%20and%20GPT&visibility=private&openIfExists=true)