LangChain and LlamaIndex Projects Lab Book: Hooking Large Language Models Up to the Real World

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The LangChain and LlamaIndex projects contain excellent documentation and examples. The purpose of this book is to present additional material to learn from.

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LangChain and LlamaIndex Projects Lab Book: Hooking Large Language Models Up to the Real World20 chapters

Begin
  1. Preface

  2. Large Language Model Overview

  3. Getting Started With LangChain

  4. Overview of LlamaIndex

  5. Extraction of Facts and Relationships from Text Data

  6. Using LLMs to Summarize Text

  7. LLM Techniques for Structured Data Conversion

  8. Retrieval Augmented Generation (RAG) Applications

  9. Using Google’s Knowledge Graph APIs With LangChain

  10. Using DBPedia and WikiData as Knowledge Sources

  11. Using LLMs To Organize Information in Our Google Drives

  12. Natural Language SQLite Database Queries With LangChain

  13. Examples Using Hugging Face Open Source Models

  14. Running Local LLMs Using Llama.cpp and LangChain

  15. Running Local LLMs Using Ollama

  16. Using Large Language Models to Write Recipes

  17. LangChain Agents

  18. Multi-prompt Search using LLMs, the Duckduckgo Search API, and Local Ollama Models

  19. More Useful Libraries for Working with Unstructured Text Data

  20. Book Wrap Up