Automate Your Knowledge Base with Google Drive and Supabase Vector Stores

This n8n workflow empowers you to create a dynamic and intelligent knowledge base by seamlessly integrating Google Drive, Supabase, and the power of Large Language Models (LLMs). Documents stored in Google Drive, such as EPUB files, are automatically fetched and processed. The content is then prepared by splitting it into manageable chunks and generating vector embeddings using OpenAI. These embeddings, along with the original content and metadata, are stored in a Supabase database, ensuring efficient semantic search. The workflow also includes essential setup instructions for your Supabase instance, including enabling the pgvector extension, creating necessary tables, and configuring security policies. Finally, it sets up an AI-powered chatbot that can retrieve information from your Supabase vector store and answer questions based on the ingested documents, demonstrating a complete RAG (Retrieval Augmented Generation) pipeline.