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portada LangChain and LlamaIndex for Beginners. A Practical Guide to Building AI Applications with Retrieval-Augmented Generation, Vector Search, and Real Data (en Inglés)
Formato
Libro Físico
Año
2026
Idioma
Inglés
N° páginas
164
Encuadernación
Tapa Blanda
Dimensiones
25.4x17.8x0.8 cm
ISBN13
9798258383037

LangChain and LlamaIndex for Beginners. A Practical Guide to Building AI Applications with Retrieval-Augmented Generation, Vector Search, and Real Data (en Inglés)

Kaelion Veyric (Autor) · Independently published · Tapa Blanda

LangChain and LlamaIndex for Beginners. A Practical Guide to Building AI Applications with Retrieval-Augmented Generation, Vector Search, and Real Data (en Inglés) - Kaelion Veyric

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Reseña del libro "LangChain and LlamaIndex for Beginners. A Practical Guide to Building AI Applications with Retrieval-Augmented Generation, Vector Search, and Real Data (en Inglés)"

Feeling overwhelmed by AI tools and not sure where to start?

You are not alone. Many beginners jump between tutorials, read endless articles, and still struggle to build something real. The tools are powerful, but the path is often unclear.

This book changes that.

LangChain and LlamaIndex for Beginners is your clear, step-by-step guide to building real AI applications from the ground up-without needing prior experience in artificial intelligence or advanced programming.

Instead of confusing theory, you will follow a practical, hands-on journey where every concept is explained simply and immediately applied. From your very first script to a fully working AI application, you will build confidence with each small, meaningful step.

What you will learn and build

By the end of this book, you will be able to:

Understand how modern AI applications and large language models actually work

Build retrieval augmented generation (RAG) systems that use real data

Work with embeddings and vector databases for intelligent search

Create a document question answering system powered by your own data

Build an AI chatbot with memory that understands conversations

Use vector search with Python to retrieve relevant information

Structure and deploy your own real-world AI applications

Why this book is different

This is not a collection of disconnected examples. You will build a complete project step by step, learning how each part connects into a real system.

Beginner-friendly approach
No prior experience required. Every concept is explained in simple, clear language.

Learn by building
You will create real features, not just read about them.

Confidence-first teaching style
Mistakes are expected, explained, and used as learning opportunities.

Practical and modern
Focused on real tools and workflows used in today's AI development.

Designed for real beginners

If you have ever thought:

"AI feels too complex for me"

"I don't know where to start"

"I understand concepts, but I can't build anything"

This book was written for you.

You will not be rushed. You will not be overwhelmed. You will move forward step by step, building something meaningful while actually understanding what you are doing and why it works.

Your journey starts here

By the time you finish, you will not just understand generative AI with Python-you will have built your own working AI application using retrieval, memory, and real data.

More importantly, you will have the confidence to keep going.

If you are ready to stop consuming tutorials and start building real AI projects, this book is your perfect starting point.

Start your journey today and build something you are proud of.

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La encuadernación de esta edición es Tapa Blanda.

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