Community Contributed: Google Drive to Pinecone Chat

Name: Community Contributed: Google Drive to Pinecone Chat
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Author: Free N8N

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Community Contributedchatbotgoogle driveopenaipineconeragvector database

Fetch a file from Google Drive, store it in Pinecone, and chat with its content.

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About This Workflow

Overview

This workflow demonstrates how to fetch a file from Google Drive, process its content by splitting it into chunks, embed these chunks, and then store them in a Pinecone vector database. Once the data is indexed, you can interact with it by asking questions and receiving answers based on the file's content, with citations provided.

Key Features

Fetch files from Google Drive.
Split text content into manageable chunks.
Generate embeddings using OpenAI.
Store and retrieve data from Pinecone.
Chat with the vectorized data.
Receive answers with citations.

How To Use

Set up your Google Drive and Pinecone credentials in n8n.
Ensure you have an OpenAI API key configured.
Create a Pinecone index with the correct dimensions (e.g., 1536).
Configure the file_url in the 'Set file URL in Google Drive' node to point to your desired file in Google Drive.
Click the 'Execute Workflow' button to populate Pinecone.
Use the 'chat' button (or equivalent trigger) to ask questions about the file's content.

Apps Used

chatbot

google drive

openai

pinecone

rag

vector database

Workflow JSON

{
  "id": "854e8524-edd9-4715-96bc-181d8847335b",
  "name": "Community Contributed: Google Drive to Pinecone Chat",
  "nodes": 0,
  "category": "Community Contributed",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.