RAG Context-Aware Chunking: Google Drive to Pinecone via OpenRouter & Gemini

Automates extraction, context-aware chunking, embedding, and storage of Google Drive documents into Pinecone for enhanced RAG retrieval accuracy using OpenRouter and Gemini.

This n8n workflow transforms documents from Google Drive into context-rich chunks stored in Pinecone vector database, improving RAG systems' retrieval precision. It fetches documents, extracts text using boundary markers, splits into logical sections via custom code, and loops through chunks to generate contextual metadata with an OpenRouter Agent (GPT-4o-mini). Context is prepended, embeddings created via Google Gemini, and upserted to Pinecone. Key benefits include superior retrieval accuracy
Platform
n8n
Category
Education
Price
$24.99
Creator
Zoltan Nguyen

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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