This repository provides tutorials and examples for using LangChain, an open-source framework designed to simplify working with large language models (LLMs). It targets developers and researchers looking to build LLM-powered applications, offering practical guidance on various functionalities like question answering and integrating with tools like ChatGPT Plugins.

How It Works

LangChain offers a modular approach to LLM application development, providing abstractions for common tasks such as data connection, chaining LLMs, and agent creation. This allows developers to build complex workflows by composing different components, enabling efficient interaction with LLMs and external data sources.

Quick Start & Requirements

• Install via pip: pip install langchain
• Requires Python 3.7+
• Links: LangChain Overview video, LangChain QA video

Highlighted Details

• Focus on practical application development with LLMs.
• Demonstrates various question-answering techniques within LangChain.
• Highlights integration capabilities, including ChatGPT Plugins.

Maintenance & Community

• LangChain is an actively developed open-source project.
• Community support channels are available via Discord and GitHub.

Licensing & Compatibility

• MIT License.
• Permissive for commercial use and integration into closed-source projects.

Limitations & Caveats

The repository primarily serves as a tutorial collection and may not represent the most up-to-date or comprehensive LangChain features. Users should refer to the official LangChain documentation for the latest advancements and best practices.