AI-Powered Document QA System with n8n
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Automate your document-based Q&A with an intelligent system powered by OpenAI, Pinecone, and n8n. Effortlessly ingest, vectorize, and query your documents to get instant, accurate answers.
About This Workflow
This workflow creates a robust AI-powered system for answering questions based on your contract documents. It leverages n8n's automation capabilities to seamlessly integrate Google Drive for document storage, Pinecone for efficient vector database management, and OpenAI for powerful natural language understanding and generation. Documents are fetched from Google Drive, vectorized, and stored in Pinecone. When a query is received via webhook, the AI agent consults the vector database to provide precise, context-aware answers, acting as a knowledgeable legal and commercial advisor. This transforms static documents into an interactive, intelligent knowledge base.
Key Components:
- Document Ingestion: Automatically pulls documents from a specified Google Drive folder.
- Vectorization & Storage: Converts document content into embeddings and stores them in a Pinecone vector database.
- AI-Powered Q&A: Utilizes an AI agent with OpenAI to understand queries and retrieve answers from the Pinecone database.
- Webhook Integration: Enables easy triggering of queries and receiving of responses.
Key Features
- Automated Document Ingestion: Effortlessly connect to Google Drive to automatically import your contract documents.
- Intelligent Vectorization: Utilizes OpenAI embeddings to represent your documents in a way that AI can understand and query.
- Scalable Knowledge Base: Leverages Pinecone for efficient storage and retrieval of vectorized document data.
- Conversational AI Agent: Provides an AI assistant capable of understanding complex queries and delivering accurate, context-aware answers.
- Webhook Triggered Operations: Easily integrate with other systems or initiate Q&A sessions via webhooks.
How To Use
- Google Drive Setup: Configure the 'Google Drive' node to point to the folder containing your contract documents. Ensure your Google Drive credentials are set up in n8n.
- Pinecone & OpenAI Integration: Set up your Pinecone and OpenAI API credentials within n8n. Configure the 'Pinecone Vector Store' nodes with your respective index and API keys.
- Embedding Configuration: The 'Embeddings OpenAI' node will automatically handle the conversion of your document text into vector embeddings.
- Text Splitting: The 'Default Data Loader' and 'Recursive Character Text Splitter' nodes are configured to process and chunk your documents for effective embedding.
- Query Setup: Configure the 'Chat Trigger' node to receive incoming queries. Set up the 'AI Agent' node with appropriate system messages and instructions for the AI to follow.
- Vector Store Tool: Connect the 'Answer questions with a vector store' tool to your Pinecone Vector Store node to enable the AI to query your knowledge base.
- Testing: Trigger the workflow manually using the 'When clicking ‘Execute workflow’' node to process your documents, or send a query to the webhook endpoint configured in the 'Chat Trigger' node to test the Q&A functionality.
Apps Used
Workflow JSON
{
"id": "b1b8681d-9e1c-4b07-9278-bbc97e753b30",
"name": "AI-Powered Document QA System with n8n",
"nodes": 11,
"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.
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ID: b1b8681d-9e1c...
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