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Building Data-Driven Applications with LlamaIndex
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Building Data-Driven Applications with LlamaIndex
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Overview of this book
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.
Table of Contents (18 chapters)
Preface
Free Chapter
Part 1:Introduction to Generative AI and LlamaIndex
Chapter 1: Understanding Large Language Models
Chapter 2: LlamaIndex: The Hidden Jewel - An Introduction to the LlamaIndex Ecosystem
Part 2: Starting Your First LlamaIndex Project
Chapter 3: Kickstarting Your Journey with LlamaIndex
Chapter 4: Ingesting Data into Our RAG Workflow
Chapter 5: Indexing with LlamaIndex
Part 3: Retrieving and Working with Indexed Data
Chapter 6: Querying Our Data, Part 1 – Context Retrieval
Chapter 7: Querying Our Data, Part 2 – Postprocessing and Response Synthesis
Chapter 8: Building Chatbots and Agents with LlamaIndex
Part 4: Customization, Prompt Engineering, and Final Words
Chapter 9: Customizing and Deploying Our LlamaIndex Project
Chapter 10: Prompt Engineering Guidelines and Best Practices
Chapter 11: Conclusion and Additional Resources
Index
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