Technical Overview

This workflow creates a seamless pipeline that transforms your Supabase-stored documents into an AI-powered knowledge base:

1. Document Processing: Automatically fetches files from Supabase, identifies new documents, and extracts text content from PDFs and text files

2. Content Transformation: Breaks documents into semantic chunks and creates vector embeddings that capture the meaning of your content

3. Vector Storage: Stores these embeddings in a Supabase vector database for efficient semantic search

4. AI-Powered Retrieval: When you ask a question, the system finds the most relevant document sections and generates comprehensive answers

The entire process runs automatically, requiring minimal technical expertise to set up thanks to the detailed implementation guide.