Build a Q&A Bot with Google Drive, OpenAI, and Pinecone
detail.loadingPreview
Automate building a question-answering system by loading documents from Google Drive into a Pinecone vector store. This workflow uses OpenAI for embeddings and chat.
🚀Ready to Deploy This Workflow?
About This Workflow
Overview
This n8n workflow automates the creation of a powerful Question & Answer (Q&A) system leveraging cloud storage, advanced AI models, and a vector database. The primary goal is to enable users to query documents stored in Google Drive using natural language.
The workflow begins by fetching a document from Google Drive. This document is then processed and split into manageable chunks using a recursive character text splitter. These chunks are then converted into vector embeddings using OpenAI's embedding model. Finally, these embeddings are inserted into a Pinecone vector store, making them searchable.
For querying, a chat trigger initiates the process. Incoming chat messages are embedded using OpenAI. These embeddings are then used to retrieve relevant document chunks from the Pinecone vector store via a vector store retriever. The original chat message and the retrieved chunks are passed to an OpenAI chat model, which formulates a coherent answer.
Key Features
- Fetch documents directly from Google Drive.
- Split large documents into smaller, processable chunks.
- Generate AI embeddings for semantic search using OpenAI.
- Store and retrieve data efficiently using Pinecone vector database.
- Enable natural language querying of your documents.
How To Use
- Pinecone Setup: Ensure you have a Pinecone index created with 1536 dimensions and select it in both Pinecone nodes within the workflow.
- Google Drive File: Update the
Set Google Drive file URLnode with the actual URL of the document you want to use. - Load Data: Click the 'Test Workflow' button to load the document from Google Drive, split it, embed it, and insert it into your Pinecone vector store.
- Chat: Click the 'Chat' button to trigger the chat interface and start asking questions about the loaded document.
Apps Used
Workflow JSON
{
"id": "eac613c3-2318-44c8-b304-42db614217c5",
"name": "Build a Q&A Bot with Google Drive, OpenAI, and Pinecone",
"nodes": 0,
"category": "AI and Machine Learning",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: eac613c3-2318...
About the Author
Free n8n Workflows Official
System Admin
The official repository for verified enterprise-grade workflows.
Statistics
Verification Info
Related Workflows
Discover more workflows you might like
Automate OpenAI Model Fine-tuning with Google Drive and AI Agent
This workflow automates the fine-tuning of OpenAI models by leveraging Google Drive for data storage and an AI Agent for conversational interaction. It streamlines the process from data preparation to model deployment.
Automated Image Analysis and Embedding for Search
This workflow analyzes an image by extracting color information and generating descriptive keywords using OpenAI. It then prepares this data for embedding into a vector store, enabling semantic search capabilities. The Google Drive and Edit Image nodes are central to image retrieval and processing.
Automated Object Detection and Image Annotation with Gemini and n8n
This n8n workflow uses Gemini 2.0 for prompt-based object detection on an image and then annotates the image with bounding boxes using the Edit Image node. It demonstrates automated image analysis and modification.