Building Data-Driven Applications with LlamaIndex

📚📚 I. THÔNG TIN SẢN PHẨM
📒 Mã sản phẩm :  STT1326
📒 Nhà xuất bản :  Packt Publishing
📒 Tác giả : Andrei Gheorghiu 
📒 Ngôn ngữ :   Tiếng Anh
📒 ISBN      : 183508950X
📒 Số trang : 368 trang
📒 Hình thức : Bìa Mềm, IN ĐEN TRẮNG
📒 Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
📒 Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
📒 Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

📚📚 II. MÔ TẢ SẢN PHẨM
📒 1.Mô tả sản phẩm

Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications

Key Features
Examine text chunking effects on RAG workflows and understand security in RAG app development
Discover chatbots and agents and learn how to build complex conversation engines
Build as you learn by applying the knowledge you gain to a hands-on project
Book Description
Discover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional ‘hallucinations’. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndex's capabilities and applications. By the end, you'll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.

What you will learn
Understand the LlamaIndex ecosystem and common use cases
Master techniques to ingest and parse data from various sources into LlamaIndex
Discover how to create optimized indexes tailored to your use cases
Understand how to query LlamaIndex effectively and interpret responses
Build an end-to-end interactive web application with LlamaIndex, Python, and Streamlit
Customize a LlamaIndex configuration based on your project needs
Predict costs and deal with potential privacy issues
Deploy LlamaIndex applications that others can use
Who this book is for
This book is for Python developers with basic knowledge of natural language processing (NLP) and LLMs looking to build interactive LLM applications. Experienced developers and conversational AI developers will also benefit from the advanced techniques covered in the book to fully unleash the capabilities of the framework.

Table of Contents
Understanding Large Language Models
LlamaIndex: The Hidden Jewel - An Introduction to the LlamaIndex Ecosystem
Kickstarting Your Journey with LlamaIndex
Ingesting Data into Our RAG Workflow
Indexing with LlamaIndex
Querying Our Data, Part 1 – Context Retrieval
Querying Our Data, Part 2 – Postprocessing and Response Synthesis
Building Chatbots and Agents with LlamaIndex
Customizing and Deploying Our LlamaIndex Project
Prompt Engineering Guidelines and Best Practices
Conclusions and Additional Resources

📒 2. Tác giả

Andrei Gheorghiu is an IT consultant and trainer with experience in generative AI. He developed the "Prompt Engineering for Everyone" course and has researched the LlamaIndex ecosystem, experimenting with its features and applications. His recent work includes using Generative AI to translate educational materials and testing virtual assistants for classroom use. With over 20 years in the IT industry, Andrei also holds certifications like ITIL Master and has trained more than 15,000 students.