How To Chat With A Github Repository Using Llama-index

Photo by Luke Chesser on Unsplash

The world of software development is vast and rapidly evolving, but one thing remains constant: the need for effective communication and access to high-quality information. This is particularly true when developers are dealing with complex codebases, APIs, or libraries. Typically, the information is scattered across documentation, issues, and code comments. What if we could chat with a GitHub repository to get answers to our questions directly?

Enter Llama-index, a powerful Python library that allows you to build and query vector indices for natural language understanding tasks. In this article, we will explore a fascinating project that leverages Llama-index to let you have a conversation with a GitHub repository. You’ll learn how to set up the project, query the repository, and interpret the results.

Prerequisites

Before diving in, make sure you have the following installed:

• Python 3.x
• llama_index Python package
• openai Python package

You can install the packages using pip:

pip install llama_index openai

You will also need to have GitHub and OpenAI API keys.

Importing Necessary Modules