Деталі електронної книги

Building Data-Driven Applications with LlamaIndex. A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

Building Data-Driven Applications with LlamaIndex. A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

Andrei Gheorghiu

Eлектронна книга
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.
  • 1. Understanding Large Language Models
  • 2. LlamaIndex: The Hidden Jewel - An Introduction to the LlamaIndex Ecosystem
  • 3. Kickstarting Your Journey with LlamaIndex
  • 4. Ingesting Data into Our RAG Workflow
  • 5. Indexing with LlamaIndex
  • 6. Querying Our Data, Part 1 – Context Retrieval
  • 7. Querying Our Data, Part 2 – Postprocessing and Response Synthesis
  • 8. Building Chatbots and Agents with LlamaIndex
  • 9. Customizing and Deploying Our LlamaIndex Project
  • 10. Prompt Engineering Guidelines and Best Practices
  • 11. Conclusions and Additional Resources
  • Назва: Building Data-Driven Applications with LlamaIndex. A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
  • Автор: Andrei Gheorghiu
  • Оригінальна назва: Building Data-Driven Applications with LlamaIndex. A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications
  • ISBN: 9781805124405, 9781805124405
  • Дата видання: 2024-05-10
  • Формат: Eлектронна книга
  • Ідентифікатор видання: e_3urz
  • Видавець: Packt Publishing