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

n8n template #2871

Summary

Workflow based on the following article. https://www.anthropic.com/news/contextual-retrieval This n8n automation is designed to extract, process, and store content from documents into a Pinecone vector store using context-based chunking. The workflow enhances retrieval accuracy in RAG (Retrieval-Augmented Generation) setups by ensuring each chunk retains meaningful context. Workflow Breakdown: 🔹 Google Drive - Retrieve Document: The automation starts by fetching a source document from Google Drive. This document contains structured content, with predefined boundary markers for easy segmentation. 🔹 Extract Text Content - Once retrieved, the document’s text is extracted for processing. Speci

How to set it up

Open template #2871 on n8n.io and click Use for free, or copy the template JSON and paste it onto an empty canvas in n8n.
Create 3 credentials under Credentials → Add credential: Google Drive, Pinecone Vector Store, Embeddings Google Gemini. Then open each of those nodes and pick the credential.
Check the model in the AI Agent node. The template may point at a model your account can't use; swap it for one you have access to.
Click Execute workflow and step through each node's output to confirm the data looks right.
Toggle the workflow to Active so its trigger runs on its own.

Hand off to your agent

Prompt

Help me set up the n8n workflow "RAG:Context-Aware Chunking | Google Drive to Pinecone via OpenRouter & Gemini" (https://n8n.io/workflows/2871). It uses: Google Drive, Code, AI Agent, Recursive Character Text Splitter, Pinecone Vector Store, Default Data Loader, Embeddings Google Gemini. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.

Paste into Claude Code and it will do the rest.

Apps and nodes

Google Drive Code AI Agent Recursive Character Text Splitter Pinecone Vector Store Default Data Loader Embeddings Google Gemini

Questions

Yes. Udit Rawat published it free on n8n.io as a verified creator, and it has 8,468 views. It runs on n8n Cloud or a self-hosted n8n instance.

Google Drive, Pinecone Vector Store, Embeddings Google Gemini. The other 4 nodes are built into n8n.

Similar workflows

NameViews