Gen AI - RAG application development using LangChain

• Titel: Gen AI - RAG application development using LangChain
• Mitwirkende: Dasgupta, Manas [MitwirkendeR]
• Institutionen: Packt Publishing, [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [Birmingham, United Kingdom]
• Verlag: Packt Publishing
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 video file (8 hr., 37 min.))
• Illustrationen: sound, color.
• Gesamttitel/Reihe: Shortcuts
• Fussnoten: Online resource; title from title details screen (O’Reilly, viewed June 18, 2024)
• ISBN: 978-1-83620-413-8
• ISBN: 1-83620-413-2
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Génération automatique de texte
• Sach-SW: Intelligence artificielle ; Logiciels
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• Sach-SW: Films de formation
• Sach-SW: Films autres que de fiction
• Sach-SW: Vidéos sur Internet
• K10plus-PPN: 1892755866
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4544405297
• Lokale URL Inst.: Zum Volltext

Abstract

This course begins with an introduction to the core concepts of Large Language Models and the LangChain framework. You'll start with the basics of forming prompts and setting up your environment, followed by a code demonstration to solidify your understanding. The first section wraps up with a quiz to test your newfound knowledge. Moving forward, we delve into the fundamental concepts of LangChain. You'll learn about prompt templates, chat prompt templates, and the intricacies of working with agents and tools. As you progress, the course covers advanced topics such as document loaders, output parsers, language embeddings, and vector databases. Practical applications, like creating your first RAG (Retrieval-Augmented Generation) application, are integrated to enhance your learning experience. The final section focuses on real-world RAG applications and projects. You'll work on diverse projects, including SQL data integration, conversational memory, CV search applications, and website query chatbots. By the end of the course, you'll be proficient in analyzing structured data using natural language and creating sophisticated AI-driven applications, ready to apply these skills in real-world scenarios.