Building data driven application with LLamaindex

Book Description
Unlock the full potential of large language models in real-world applications with this practical, hands-on guide to building intelligent, data-driven systems using LlamaIndex.
"Building Data-Driven Applications with LlamaIndex" is your essential roadmap to creating powerful AI tools that can reason over documents, pull relevant context on demand, and respond with precision. Whether you're a developer, data engineer, or AI enthusiast, this book will teach you how to turn unstructured and structured data into conversational, searchable, and intelligent systems.
Inside, you'll learn how to:
Build and manage vector, keyword, and tree-based indexes
Design robust query pipelines using retrieval-augmented generation (RAG)
Load and parse data from PDFs, CSVs, websites, Notion, and more
Integrate with vector stores like FAISS and Chroma
Choose and configure embedding models and LLM providers
Build full-stack tools with Streamlit or Gradio
Scale, deploy, and maintain AI applications in the cloud
Through a full end-to-end project—building a functional knowledge assistant—you'll gain the confidence to integrate external APIs, connect multiple data sources, and create scalable, cost-efficient AI-powered solutions for real business needs.
Whether you're prototyping a smart chatbot, enhancing enterprise search, or architecting a retrieval-based app, this book gives you the tools and insights to bring intelligent applications to life.