Harness Your Live Data with AI-Powered Q&A
detail.loadingPreview
Unlock instant, context-aware answers from your dynamic Notion knowledge base. This workflow leverages Retrieval Augmented Generation (RAG) with OpenAI to provide accurate responses based on your continuously updated living data.
About This Workflow
Transform your Notion pages into an intelligent Q&A system. This n8n workflow, named 'RAG on living data', ingeniously integrates with Notion, OpenAI, and Supabase to create a powerful Retrieval Augmented Generation (RAG) pipeline. It continuously monitors your Notion knowledge base for updates, processes the content using token splitting for optimal handling, and embeds it into a vector store. When a question is received via chat, the workflow retrieves relevant information and uses OpenAI's advanced language models (like GPT-4o) to generate concise and accurate answers. This ensures your AI can always access and leverage your most current information, making it ideal for real-time decision-making and knowledge dissemination.
Key Features
- Real-time Data Integration: Automatically syncs and indexes content from your Notion pages.
- AI-Powered Q&A: Utilizes OpenAI's advanced models for intelligent question answering.
- Efficient Data Handling: Employs token splitting for optimized processing of large text chunks.
- Dynamic Knowledge Base: Continuously updates its understanding as your Notion content evolves.
- Flexible Triggering: Supports both scheduled checks and chat-based interactions for queries.
How To Use
- Configure Triggers: Choose between the 'Schedule Trigger' (polling Notion at intervals) or the 'When chat message received' trigger for immediate queries.
- Set up Notion Integration: Connect your Notion account and specify the database or page ID you want to index.
- Integrate OpenAI: Provide your OpenAI API credentials to enable embeddings and language model interactions.
- Establish Vector Store: Connect to your Supabase instance (or another vector store) to store and retrieve embeddings.
- Define Data Loading: Utilize the 'Default Data Loader' to add metadata (like page ID and name) to your indexed documents.
- Adjust Text Splitting: Configure the 'Token Splitter' node with appropriate
chunkSizeand overlap settings for optimal data processing. Consider the maximum token limits for your chosen OpenAI model. - Set up Q&A Chain: The 'Question and Answer Chain' node orchestrates the retrieval and generation process.
- Retrieve from Vector Store: The 'Vector Store Retriever' node fetches relevant data based on incoming questions.
- Optional: Delete Old Embeddings: Implement the 'Delete old embeddings if exist' node to manage your vector store efficiently.
Apps Used
Workflow JSON
{
"id": "3aa00311-0702-4528-8bc1-53e3ded22bd1",
"name": "Harness Your Live Data with AI-Powered Q&A",
"nodes": 18,
"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: 3aa00311-0702...
About the Author
Free n8n Workflows Official
System Admin
The official repository for verified enterprise-grade workflows.
Statistics
Related Workflows
Discover more workflows you might like
Google Sheets to Icypeas: Automated Bulk Domain Scanning
This workflow streamlines the process of performing bulk domain scans by integrating your Google Sheets data directly with the Icypeas platform. Automate the submission of company names from your spreadsheet to Icypeas for comprehensive domain information, saving valuable time and effort.
Instant WooCommerce Order Notifications via Telegram
When a new order is placed on your WooCommerce store, instantly receive detailed notifications directly to your Telegram chat. Stay on top of your e-commerce operations with real-time alerts, including order specifics and a direct link to view the order.
On-Demand Microsoft SQL Query Execution
This workflow allows you to manually trigger and execute any SQL query against your Microsoft SQL Server database. Perfect for ad-hoc data lookups, administrative tasks, or quick tests, giving you direct control over your database operations.