AI-Powered Document Chat: Google Drive to Intelligent Q&A
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This workflow transforms your Google Drive documents into an interactive knowledge base. It enables an AI chatbot to answer questions about your files by processing their content and storing it in a vector database, providing instant, accurate information retrieval.
About This Workflow
Unlock the power of your Google Drive documents with this comprehensive Retrieval Augmented Generation (RAG) workflow. It automates the entire process of ingesting document content, splitting it into manageable chunks, generating semantic embeddings using OpenAI, and securely storing them in a Pinecone vector database. When a user asks a question, the system intelligently retrieves the most relevant document segments, leveraging a large language model (LLM) from OpenAI to formulate precise and context-aware answers. This setup creates a dynamic, AI-powered Q&A system for your organizational knowledge.
Key Features
- Automated Document Ingestion: Seamlessly download and process documents directly from Google Drive.
- Intelligent Text Splitting: Break down large documents into optimized chunks for efficient retrieval and embedding.
- OpenAI Powered Embeddings: Generate high-quality vector embeddings for accurate semantic search.
- Scalable Vector Database: Utilize Pinecone for robust and efficient storage and retrieval of document knowledge.
- Contextual Q&A Chatbot: Enable an AI chatbot to answer questions using relevant document snippets, ensuring factual and relevant responses.
How To Use
- Configure Credentials: Ensure your n8n instance has valid credentials for Google Drive, OpenAI, and Pinecone.
- Set Pinecone Index: In both 'Insert into Pinecone vector store' and 'Read Pinecone Vector Store' nodes, create and select a Pinecone index with 1536 dimensions (compatible with OpenAI embeddings).
- Load Data: Click the 'Test Workflow' button (linked to the "When clicking 'Test Workflow' button" node) to initiate the document loading process. This will download the specified Google Drive file, process it, and populate your Pinecone index.
- Chat with Data: Once data is loaded, click the 'Chat' button (linked to the "When clicking 'Chat' button below" node) to start asking questions about the content of your Google Drive document.
- Customize Document URL: Update the
file_urlin the 'Set Google Drive file URL' node to point to your desired Google Drive document.
Apps Used
Workflow JSON
{
"id": "46adf8ae-2b29-4911-8059-91155e8a5101",
"name": "AI-Powered Document Chat: Google Drive to Intelligent Q&A",
"nodes": 9,
"category": "Operations",
"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: 46adf8ae-2b29...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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