Gen AI - RAG Application Development using LangChain
Год выпуска: June 2024
Производитель: Published by Packt Publishing via O'Reilly Learning
Сайт производителя:
https://learning.oreilly.com/course/gen-ai/9781836204138/
Автор: Manas Dasgupta
Продолжительность: 8h 36m
Тип раздаваемого материала: Видеоурок
Язык: Английский + субтитры
Описание:
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.
What you will learn
• Formulate and implement prompts for language models
• Develop and utilize agents and tools within the LangChain framework
• Integrate and manage document loaders and output parsers
• Create and utilize language embeddings and vector databases
• Build and deploy Retrieval-Augmented Generation (RAG) applications
• Analyze structured data using natural language processing techniques
Содержание
Chapter 1 Introduction
Chapter 2 LangChain Fundamental Concepts
Chapter 3 RAG Applications and Projects
Файлы примеров: отсутствуют
Формат видео: MP4
Видео: AVC, 1280×720, 16:9, 30.000 fps, 3 000 kb/s (0.017 bit/pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR
Доп. информация:
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