Templates / Power a Nexora RAG chatbot with Groq, Gemini, Pinecone, Cohere and Google Drive

Power a Nexora RAG chatbot with Groq, Gemini, Pinecone, Cohere and Google Drive

Ready for 3.0

by Muhammad Salman Anwar ✓ · 14 views · created 2026-08-02 · Support Chatbot, AI RAG

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 13 nodes and runs on Google Drive events (file created) (plus 1 other trigger). Along the way it connects Groq Chat Model, Pinecone Vector Store, Reranker Cohere and Google Drive and 1 more.

How it runs

Trigger: On Google Drive events (file created) (plus 1 other trigger).

  1. Download File from Drive (Google Drive): download
  2. Chatbot Response Agent (AI Agent): runs an AI agent, with model: Groq Chat Model; 1 tool (Main Pinecone Vector Store)
  3. Secondary Pinecone Vector Store (Pinecone Vector Store): stores documents in the Pinecone vector store, with embeddings: Generate Google Gemini Embeddings; document loader: Load Default Data Format
  4. Memory Buffer Window (Simple Memory): uses Simple Memory

Services it uses

Groq Chat ModelPinecone Vector StoreReranker CohereGoogle DriveEmbeddings Google Gemini

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (11)

From the author

Quick overview This workflow powers a RAG chatbot that answers chat messages using a Groq Llama model grounded in a Pinecone knowledge base, and automatically updates that knowledge base by ingesting new files added to a specific Google Drive folder using…

Excerpt from Muhammad Salman Anwar's description on n8n.io.

View the original on n8n.io → Check your own copy

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