Interactive GitHub API Documentation Chatbot with RAG, Pinecone, and OpenAI

This workflow is designed to provide a seamless experience for users needing information from the GitHub API documentation. It automates the process of fetching, chunking, and embedding the API specification into a vector database, enabling efficient semantic search and retrieval. When a user query is received, the workflow generates an embedding, searches the vector database for relevant information, and uses OpenAI's language models to generate a coherent response. This setup can be adapted for any OpenAPI specification, making it a versatile tool for API documentation interaction.