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The GitHub Documentation Agent is a Retrieval-Augmented Generation (RAG) system designed to revolutionize interaction with GitHub's comprehensive documentation. It automatically ingests GitHub's official documentation, processes the content into semantic embeddings using local Ollama LLMs, and stores them in a PostgreSQL vector database. This architecture enables developers to ask natural language questions about GitHub, receiving contextually relevant and intelligent answers, effectively transforming the documentation into an interactive knowledge base.
