RAG Document Intelligence

Who is this for?

Ops teams answering process questions across 7 Drive folders need this Pinecone RAG workflow that indexes when a Drive file updates. This index is pre-tested for first-try import with exact Pinecone and Drive credential mapping, and needs only a 10-minute answer review.

What problem does this solve?

Hunting folders in Google Drive, downloading the file, and drafting from Pinecone notes with Google Gemini takes ~15 min per question by hand. When a Drive file updates this workflow downloads via Download File From Google Drive and indexes into Pinecone Vector Store for chat answers. You just check the answer.

What this workflow does

1. Pinecone Vector Store (Pinecone)
2. Embeddings Google Gemini (Google AI)
3. Default Data Loader (Document Default Data Loader)
4. AI Agent (AI Agent)

How it works

A change in Google Drive File Updated kicks it off → Download File From Google Drive, Pinecone Vector Store.

Setup

1. Open danielgrey.shop/app/templates/dg-0007 → Copy JSON → n8n → Import from Clipboard (or Push to n8n)
2. Connect credentials: Google AI, Google Drive, OpenAI, Pinecone
3. Run once manually to verify each branch, then activate.

Requirements

- n8n 1.50.0 or later
- Credentials for Google AI, Google Drive, OpenAI, Pinecone
- One-time $149 — yours forever, Pro unlocks it too.

Customising

- Point Download File From Google Drive at your procedures folder and Pinecone Vector Store namespace.
- Tune embeddings in Embeddings Google Gemini and chunking in Default Data Loader.