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Gen AI - RAG Application Development using LangChain
Gen AI - RAG Application Development using LangChain

Gen AI - RAG Application Development using LangChain: Mastering LangChain Framework: The Key to Advanced Language Model Applications

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Profile Icon Manas Dasgupta
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Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Jul 2024 8hrs 36mins 1st Edition
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zł443.99
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Arrow left icon
Profile Icon Manas Dasgupta
Arrow right icon
Free Trial
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Jul 2024 8hrs 36mins 1st Edition
Video
zł443.99
Subscription
Free Trial
Video
zł443.99
Subscription
Free Trial

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Key benefits

  • Comprehensive introduction to LangChain and Large Language Models
  • In-depth exploration of prompts, agents, and tools
  • Advanced topics including language embeddings and vector databases

Description

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.

Who is this book for?

This course is designed for technical professionals and developers with a basic understanding of Python and AI concepts. Familiarity with natural language processing is a plus but not required. It's perfect for those looking to deepen their knowledge of Large Language Models and the LangChain framework.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Jul 05, 2024
Publication date : Jun 11, 2024
Length: 8hrs 36mins
Edition : 1st
Language : English
ISBN-13 : 9781836204138
Category :
Languages :
Tools :

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Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Last updated date : Jul 05, 2024
Publication date : Jun 11, 2024
Length: 8hrs 36mins
Edition : 1st
Language : English
ISBN-13 : 9781836204138
Category :
Languages :
Tools :

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Table of Contents

3 Chapters
Introduction Chevron down icon Chevron up icon
LangChain Fundamental Concepts Chevron down icon Chevron up icon
RAG Applications and Projects Chevron down icon Chevron up icon

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