Building AI applications with LangChain and GPT

• Titel: Building AI applications with LangChain and GPT
• Mitwirkende: Vankrunkelsven, Vincent [MitwirkendeR]
• Institutionen: Packt Publishing, [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [Birmingham, United Kingdom]
• Verlag: Packt Publishing
• E-Jahr: 2025
• Jahr: [2025]
• Umfang: 1 online resource (1 video file (1 hr., 6 min.))
• Illustrationen: sound, color.
• Fussnoten: "DataLab" : DataLab is a learning solution designed to empower individuals and teams to explore data, build skills, and solve real-world problems. With interactive content, hands-on exercises, and a focus on practical application, DataLab helps learners turn data curiosity into confident capability—no matter where they start. - Online resource; title from title details screen (O’Reilly, viewed April 9, 2025)
• ISBN: 978-1-80602-101-7
• ISBN: 1-80602-101-3
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Logiciels d'application ; Développement
• Sach-SW: Intelligence artificielle
• Sach-SW: Programmation (Informatique)
• Sach-SW: Interfaces de programmation d'applications
• Sach-SW: artificial intelligence
• Sach-SW: computer programming
• Sach-SW: APIs (interfaces)
• Form-SW: Instructional films
• Form-SW: Nonfiction films
• Form-SW: Internet videos
• Form-SW: Films de formation
• Form-SW: Films autres que de fiction
• Form-SW: Vidéos sur Internet
• K10plus-PPN: 1924460505
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4718960983
• Lokale URL Inst.: Zum Volltext

Abstract

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.