AI-Powered RAG Document Processing & Chatbot with Google Drive, Supabase, OpenAI

Who is this for?

This workflow is perfect for:

Businesses and teams who need an automated solution to organize, analyze, and retrieve insights from their internal documents. Researchers who want to quickly analyze and query large collections of research papers, reports, or datasets. Customer support teams looking to streamline access to product documentation and support resources. Legal and compliance professionals needing to reference and query legal documents with confidence. AI enthusiasts and developers wanting to implement Retrieval-Augmented Generation (RAG) systems without starting from scratch.

What problem is this workflow solving?

Manually organizing, processing, and searching through documents can be time-consuming, error-prone, and inefficient. This workflow solves that by:

Automating document processing from Google Drive, supporting multiple formats like PDFs, CSVs, and Google Docs. Extracting, chunking, and enhancing document text, preserving context and improving AI comprehension. Storing vector embeddings in a secure, scalable Supabase vector database, enabling semantic search and retrieval. Providing an interactive AI chat interface that allows users to ask natural language questions and get precise, document-based answers.

This means teams can quickly access relevant insights from their document repositories—boosting productivity and ensuring accurate information retrieval.

Key Features