Block 1 - When clicking ‘Execute workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Description This workflow is a practical, “dirty” solution for real world scenarios where frontline workers keep using Excel in their daily processes. Instead of forcing change, we take their sprea...
n8n-nodes-base.manualtrigger, n8n-nodes-base.code, n8n-nodes-base.splitinbatches, n8n-nodes-base.switch, n8n-nodes-base.merge, n8n-nodes-base.httprequest, n8n-nodes-base.supabase, n8n-nodes-base.postgres
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Wessel Bulte.
Original n8n.io sourceThis workflow is a practical, “dirty” solution for real-world scenarios where frontline workers keep using Excel in their daily processes.
Instead of forcing change, we take their spreadsheets as-is, clean and normalize the data, generate embeddings, and store everything in Supabase.
The benefit: frontline staff continue with their familiar tools, while data analysts gain clean, structured, and vectorized data ready for analysis or RAG-style AI applications.
excel_records) with vector and FTS indexes.Frontline workers keep their Excel-based workflows, while data can immediately be structured, searchable, and vectorized in Supabase — enabling AI-powered search, reporting, and retrieval-augmented generation.
Supabase account
OpenAI API Key
text-embedding-3-small).Microsoft Excel credentials
Needed to connect to your workbook and worksheet.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 29 workflow blocks. Download the JSON for the full node graph.
| Workflow | Transform Excel data into AI-ready vectors with OpenAI and Supabase |
|---|---|
| Complexity | advanced |
| Nodes | 29 |
| Categories | Document Extraction, AI RAG |
| Author | Wessel Bulte |
| Published | 13 Sept 2025 |
Use the JSON export at /data/workflows/8557/8557.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Description This workflow is a practical, “dirty” solution for real world scenarios where frontline workers keep using Excel in their daily processes. Instead of forcing change, we take their sprea...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI RAG use case.