AI-powered knowledge assistant using Google Sheets, OpenAI, and Supabase Vector Search

About This Workflow

What This Workflow Does

This workflow creates an AI-powered knowledge assistant that provides contextual responses by combining chat history, vector database knowledge retrieval, and OpenAI's natural language processing capabilities. It utilizes Google Sheets and Supabase Vector Search to store and retrieve relevant information, enabling the assistant to deliver accurate and personalized responses. This automation streamlines the process of building a conversational AI system, making it easier to integrate with internal knowledge bases.

Who Should Use This

This workflow is ideal for developers, marketers, and business owners who want to create intelligent conversational AI systems for their internal wikis or knowledge management platforms. It is particularly useful for those who want to leverage vector search databases and OpenAI's capabilities to enhance their user experience.

Key Features

• Retrieves relevant information from Google Sheets and Supabase Vector Search to provide accurate and contextual responses
• Utilizes OpenAI's natural language processing capabilities for conversational AI
• Combines chat history with vector database knowledge retrieval for personalization
• Integrates with popular platforms for seamless deployment

How to Get Started

To get started with this workflow, import the provided template into n8n and customize the settings to match your specific Google Sheets, Supabase Vector Search, and OpenAI accounts. Adjust the workflow to fit your knowledge base and conversational AI requirements, and you'll be ready to deploy your AI-powered knowledge assistant.