GitHub Documentation Agent

Example Use Cases

• 1

  Provide accurate answers about GitHub documentation without relying on external APIs.

• 2

  Perform semantic search and contextual question answering on GitHub docs using local LLMs.

• 3

  A scalable vector database solution integrated with PostgreSQL for document retrieval.

Description

This project provides a question-answering system that fetches and processes GitHub's official documentation, generates embeddings using local Ollama models, and stores them in a PostgreSQL vector database. It enables users to ask contextually relevant questions about GitHub features and receive intelligent answers generated by local language models. The system is designed to run in a VS Code Dev Container with Docker services for easy setup and scalability.