<ul><li>This guide explains how to turn any GitHub repository into a conversational AI assistant.</li><li>It covers extracting and indexing information from GitHub repositories, understanding code structures, dependencies, and key functions, as well as answering technical questions in natural language.</li><li>The implementation involves importing necessary libraries, using embedding models for converting text into machine-readable vectors, extracting content from repositories using gitingest, converting the content into a searchable vector database using LlamaIndex, and configuring the AI to provide accurate and structured responses.</li><li>The result is a GitHub repository explorer powered by LlamaIndex, Hugging Face embeddings, and Gemini LLM, capable of answering questions about any repository.</li></ul>

How to Turn Any GitHub Repo into a Conversational AI Assistant

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