RAG-Powered GitHub API Docs Chatbot with Pinecone & OpenAI

This n8n workflow creates a sophisticated RAG-powered chatbot that enables natural language conversations with the GitHub API OpenAPI specification. It ingests the full API docs from GitHub, chunks them, generates embeddings with OpenAI, and stores them in Pinecone for semantic search. Users can ask questions like 'How do I create a repo?' and get precise answers with code snippets.

The workflow handles data ingestion via HTTP request to GitHub repo, text splitting into chunks, embedding generation, and upsert to Pinecone index. For queries, it embeds the user input, retrieves top relevant chunks from Pinecone, and prompts GPT-4o-mini to synthesize concise, informative responses grounded in the docs.

Benefits include instant access to API knowledge without manual searching, adaptability to any OpenAPI spec for custom company APIs, reduced developer onboarding time, and scalable AI-driven support. Ideal for dev teams, API consumers, or internal docs chatbots.

Setup is straightforward: create OpenAI/Pinecone accounts, add credentials to n8n, import workflow, run ingestion once, then chat via webhook or interface. High-value for automating documentation queries.