This repository provides code examples and notebooks for the book "Generative AI with LangChain, 2024 Edition." It targets developers and data scientists looking to build LLM applications using Python and frameworks like LangChain, covering topics from fundamentals to production deployment. The primary benefit is practical, hands-on guidance for leveraging generative AI.

How It Works

The repository's code is structured by book chapters, offering Python scripts and Jupyter notebooks that demonstrate LangChain's capabilities. It covers core concepts such as LLM interaction, prompt engineering, data retrieval, memory management, and fine-tuning, illustrating how to build diverse applications like chatbots, question-answering systems, and data analysis tools. The approach emphasizes practical implementation and real-world use cases.

Quick Start & Requirements

• Install: Follow instructions in the book or SETUP.md for dependencies and API keys.
• Prerequisites: Python 3.11 (Python 3.12 may not work).
• Resources: Assumes a recent computer; specific hardware requirements vary by chapter and model used.
• Links: Book PDF, Graphic Bundle, Discord.

Highlighted Details

• Companion code for "Generative AI with LangChain, 2024 Edition."
• Covers a wide range of LLM applications: chatbots, RAG, data science, software development.
• Includes notebooks runnable on platforms like Google Colab.
• Demonstrates fine-tuning, prompt engineering, and production deployment strategies.

Maintenance & Community

The repository is regularly updated to align with LangChain developments, though it may not match every minor update for stability. The author, Ben Auffarth, is active, and community engagement is encouraged via GitHub issues and a Discord server.

Licensing & Compatibility

The repository's code is likely subject to the licensing terms of the book and its dependencies. LangChain itself is typically Apache 2.0 licensed, allowing commercial use. Specific licensing for the book's content and code examples should be verified.

Limitations & Caveats

The repository is tied to a specific book edition and LangChain versions; compatibility with future LangChain updates is not guaranteed. Python 3.12 is noted as potentially problematic. The code examples are for learning and may require adaptation for robust production environments.