Create Personal Data Vector Store from Google Sheets with OpenAI & Gemini AI
This workflow integrates **Google Sheets** with **Supabase Vector Store** for storing personal data as vectors. It utilizes **OpenAI** and **Google Gemini** AI models for enhanced data processing and querying. The workflow performs the following tasks: - **Extracts personal data** from Google Sheets. - Processes the data using **AI tools** like OpenAI and Google Gemini for intelligent insights. - **Inserts the data** into **Supabase** as vectors, enabling efficient storage and fast querying. - Includes seamless integration with **Postgres** for memory management. - Supports data **loading**, **embedding**, and **management**. This template is ideal for: - Personal data storage with AI-driven **querying** and **analysis**. - Building **intelligent agents** that interact with your data. - Efficient vector-based storage for **personal information**. Perfect for those looking to integrate AI into their personal data workflows.
- Platform
- n8n
- Category
- AI
- Price
- $9.99
- Creator
- Mustafa Polat
- vector
- agent
- memory
- stickyNote
- googleSheets
- convertToFile
- agent
- chatTrigger
- embeddingsOpenAi
- lmChatGoogleGemini
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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