Automated Knowledge Base Chat with Supabase RAG and GPT-4o-Mini Integration

Overview

This workflow automates the creation and updating of an interactive knowledge base chat system by integrating Google Drive, Supabase, and GPT-4o-Mini. It streamlines the ingestion and processing of documents, enabling real-time, AI-powered chat responses based on the latest knowledge base content.

Key Features

• Automated File Monitoring: Uses Google Drive triggers to detect new or updated files (PDF, CSV, XLSX).
• Data Extraction & Processing: Extracts content from various file formats and processes them in batches for efficiency.
• Duplicate Checking & Metadata Management: Ensures only unique documents are processed and stores metadata in a Postgres database.
• Aggregation & Indexing: Aggregates extracted data and updates the Supabase database for retrieval-augmented generation (RAG).
• AI Chat Integration: Leverages GPT-4o-Mini to provide intelligent, context-aware chat responses based on the latest indexed knowledge.

Benefits

• Time Savings: Eliminates manual data entry and document management.
• Accuracy: Ensures up-to-date, deduplicated knowledge base content.
• Scalability: Handles large volumes of documents and supports multiple file types.
• Enhanced User Experience: Delivers instant, AI-powered answers to user queries.

Use Cases

• Internal company knowledge bases
• Customer support chatbots
• Automated FAQ systems
• Document-driven AI assistants

Integrations

• Google Drive (file triggers)
• Supabase (database and RAG)
• GPT-4o-Mini (AI chat)
• Postgres (metadata storage)