Block 1 - Download File4
- Type / Role
- n8n-nodes-base.googleDrive - googleDrive
- Config choices
- Version 3
This workflow is provided as-is. Please review and test before using in production.
n8n RAG Ingestion & Query Workflow Overview This workflow is your all in one pipeline to turn any document into a powerful searchable knowledge base using RAG (Retrieval Augmented Generation). F...
n8n-nodes-base.googledrive, n8n-nodes-base.splitout, @n8n/n8n-nodes-langchain.documentdefaultdataloader, @n8n/n8n-nodes-langchain.embeddingsopenai, @n8n/n8n-nodes-langchain.textsplittercharactertextsplitter, @n8n/n8n-nodes-langchain.vectorstoresupabase, n8n-nodes-base.googledrivetrigger, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Paul.
Original n8n.io sourceThis workflow is your all-in-one pipeline to turn any document into a powerful searchable knowledge base using RAG (Retrieval-Augmented Generation).
From the moment a file lands in your Google Drive, itβs automatically processed, understood, and made ready for instant AI-powered answers.
If youβre looking to unlock hidden value in your files and get answers in seconds instead of hours, this workflow is the foundation you need.
π Imagine having your own private ChatGPT trained on your files.
This workflow makes it happen. Upload, search, and get answers β all automatically.
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 30 workflow blocks. Download the JSON for the full node graph.
| Workflow | Chat with documents via RAG: Google Drive to GPT-5 with Supabase vector database |
|---|---|
| Complexity | advanced |
| Nodes | 30 |
| Categories | Internal Wiki, Multimodal AI |
| Author | Paul |
| Published | 12 Aug 2025 |
Use the JSON export at /data/workflows/7308/7308.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.
n8n RAG Ingestion & Query Workflow Overview This workflow is your all in one pipeline to turn any document into a powerful searchable knowledge base using RAG (Retrieval Augmented Generation). F...
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 Internal Wiki, Multimodal AI use case.