Large Language Models are transforming how modern applications are built—but turning powerful models into reliable, scalable, and production-ready systems remains a major challenge.
Learning LangChain: A Practical Guide to Building LLM Applications with Python, RAG, and Agents is a hands-on guide for developers who want to go beyond simple prompt experiments and learn how to design complete, real-world LLM-powered applications using LangChain.
As LLMs rapidly move from experimentation into production environments, developers must address new concerns around hallucinations, context management, scalability, cost control, and system architecture. This book provides a clear, structured approach to solving those challenges using proven LangChain design patterns.
This book teaches you how to assemble end-to-end LLM systems by combining LangChain’s core building blocks, including:
Prompt templates and structured output parsing
Chains and reusable workflows
Conversation memory and context management
Retrieval-Augmented Generation (RAG) with vector databases
Tool-using and agent-based systems
Testing, evaluation, and production deployment strategies
Rather than focusing on isolated prompts or theoretical concepts, the book emphasizes practical implementation, showing how real LLM applications are built, maintained, and scaled.
A major focus of this book is Retrieval-Augmented Generation (RAG)—one of the most effective techniques for improving accuracy and reducing hallucinations in LLM applications.
📘You will learn how to:
Load and preprocess documents
Split and embed text efficiently
Store and retrieve information using vector databases
Integrate retrieval seamlessly into LangChain workflows
These techniques are essential for building applications such as chatbots, knowledge assistants, internal search tools, and AI-powered customer support systems.
"Sinopsis" puede pertenecer a otra edición de este libro.
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Print on Demand. Nº de ref. del artículo: I-9798242968745
Cantidad disponible: Más de 20 disponibles