Learn to build AI-powered applications with LangChain and GPT-4o Mini. This notebook guides you through embedding data, setting up a vector database, and creating a responsive chatbot that leverages scikit-learn documentation to answer questions effectively.
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) This course is designed for intermediate-level developers or professionals with a background in AI, machine learning, or software development. Familiarity with basic programming concepts and Python is recommended. Some knowledge of machine learning models and databases would be advantageous but not required. This course takes a hands-on, project-driven approach. You'll begin by exploring data and learning how to slice and tokenize documents. Gradually, you'll move to embedding, storing, and querying data in vector databases. The course culminates in building an intelligent chatbot using LangChain and GPT-4o Mini. This course is based on Building AI Applications with LangChain and GPT, by DataLab DataLab and Vincent Vankrunkelsven. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.
