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Top LangChain Books to Read in 2024
Quick Start Guide to Large Language Models
This book provides a practical guide on working with and deploying LLMs to solve real-world problems, including sample codes for models like GPT-4, BERT, T5, and LLaMA.
Introduction to Generative AI
This book covers the fundamentals of generative AI and how to use it safely and effectively in personal and professional workflows.
Generative AI with LangChain
A guide to using the LangChain framework to develop and deploy production-ready LLM applications, including prompt engineering to improve performance.
LangChain Crash Course
This short book covers the fundamentals of LangChain and teaches how to build LLM-powered applications using hands-on exercises.
LangChain in your Pocket
A guide to creating powerful applications using LLMs, covering topics like Auto-SQL, NER, RAG, and Autonomous AI agents with step-by-step code explanations.
Generative AI on AWS
Covers the entire generative AI project lifecycle on Amazon Bedrock, including using LangChain to develop agents and actions.
Machine Learning Engineering with Python
A comprehensive guide to building and scaling machine-learning projects, including a section on generative AI and building LLM-powered pipelines using LangChain.
Developing Apps With GPT-4 and ChatGPT
This book teaches how to create applications with large language models, covering topics like prompt engineering, model fine-tuning, and frameworks like LangChain.
LangChain Handbook
A complete guide to integrating and implementing LLMs using the LangChain framework, covering applications like chatbots, document analysis, and code analysis.
LangChain for Everyone
Covers the practical ways the LangChain framework can be leveraged to develop LLM-powered applications in various industries.
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