This repository provides practical notes and implementation guides for building applications with Large Language Models (LLMs), targeting AI application developers and researchers. It offers hands-on experience with popular frameworks like LangChain and LlamaIndex, alongside in-depth coverage of LLM security, LLMOps, RAG, and multi-agent systems.

How It Works

The project serves as a comprehensive, evolving guide to LLM application development. It breaks down complex topics into digestible chapters, including practical code examples and API integrations. The approach emphasizes hands-on learning, covering everything from basic LLM concepts and OpenAI API usage to advanced topics like RAG system evaluation and multi-agent frameworks.

Quick Start & Requirements

• Local Reading: Build a GitBook image using docker build . -t <image:tag> or run a pre-built image:

  cd llm-book
  docker run --rm -v "$PWD/LLMProjects:/gitbook" -p 4000:4000 morso1/gitbook-server:3.2.3 gitbook serve
  

  Access at http://localhost:4000.
• Prerequisites: Docker.

Highlighted Details

• Covers foundational LLM concepts and OpenAI API integration.
• Detailed guides on LangChain and LlamaIndex for building RAG systems.
• Includes dedicated chapters on LLM security, LLMOps, and multi-agent systems.
• Features sections on evaluating LLM applications and comparing domestic model vendors.

Maintenance & Community

The project is actively maintained by morsoli, with a focus on expanding content related to LLM application development. Links to community channels or roadmaps are not explicitly provided in the README.

Licensing & Compatibility

The repository's licensing is not specified in the README. Compatibility for commercial use or closed-source linking is therefore undetermined.

Limitations & Caveats

The project is presented as a set of practical notes and may not represent a fully curated or production-ready framework. Specific version requirements for dependencies beyond Docker are not detailed.