Convert Google Drive Documents to Vector Embeddings with OpenAI - n8n Workflow | Neura Market
Convert Google Drive Documents to Vector Embeddings with OpenAI
Automatically transform documents from Google Drive into vector embeddings using OpenAI's model and store them in a Postgres database with PGVector for advanced search capabilities.
This workflow monitors a specified Google Drive folder for new files, processes them into vector embeddings using OpenAI's `text-embedding-3-small` model, and stores these embeddings in a Postgres database with the PGVector extension. It supports multiple file types such as PDF, text, and JSON. After processing, files are moved to a designated folder to prevent duplication. This setup is ideal for applications like semantic search, AI knowledge ingestion, and automated document processing pipeli
Platform
n8n
Category
AI
Price
Free
Creator
Theo van der Berg
Current
switch
stickyNote
googleDrive
manualTrigger
splitInBatches
extractFromFile
scheduleTrigger
embeddingsOpenAi
vectorStorePGVector
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.