Document Q&A RAG System: OpenAI, Pinecone & Google Drive
Builds a Retrieval-Augmented Generation (RAG) system to load PDFs from Google Drive, embed with OpenAI, store in Pinecone, and enable natural language Q&A for documents like contracts and policies.
This n8n workflow creates an AI-powered Document Q&A system using Retrieval-Augmented Generation (RAG). It automates ingesting PDF documents from Google Drive, splitting them into chunks, generating vector embeddings with OpenAI's text-embedding-3-small model, and storing them in Pinecone Vector DB for semantic search. A second flow (via webhook) enables natural language querying, retrieving relevant chunks and generating answers with OpenAI GPT.
Key benefits include effortless document managem
- Platform
- n8n
- Category
- Finance
- Price
- $24.99
- Creator
- Jordi Faber
- RAG
- OpenAI
- Pinecone
- Google Drive
- Vector Database
- Document QA
- AI Chatbot
- Semantic Search
- PDF Processing
- Finance Automation
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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