Automate Your Knowledge Base with n8n and Supabase
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Effortlessly build intelligent Q&A systems by connecting your documents to Supabase vector databases. This workflow automates the ingestion, indexing, and retrieval of information for AI-powered interactions.
About This Workflow
This n8n workflow empowers you to create powerful Retrieval Augmented Generation (RAG) systems by seamlessly integrating your documents with Supabase's vector database capabilities. It automates the entire process, from downloading your content (e.g., EPUB files from Google Drive) to processing and storing it for efficient AI-driven queries. The workflow includes essential steps like data loading, text splitting, embedding generation, and the crucial setup for Supabase's pgvector extension and custom match_documents function. Finally, it sets up a chat interface to interact with your knowledge base, providing contextually relevant answers powered by OpenAI and your Supabase data.
Key Features
- Automated Document Ingestion: Easily pull content from sources like Google Drive.
- Intelligent Text Processing: Splits and prepares your text for vectorization.
- Vector Database Integration: Seamlessly connects with Supabase for storing and querying embeddings.
- AI-Powered Q&A: Enables natural language querying of your knowledge base.
- Customizable Setup: Provides clear instructions for Supabase configuration, including SQL functions and table schemas.
How To Use
- Connect Google Drive: Configure the 'Google Drive' node with the file ID of your document.
- Load Data: The 'Default Data Loader' node will process the downloaded file (e.g., EPUB).
- Prepare Supabase: Ensure your Supabase project has the
pgvectorextension enabled, a table withembedding,metadata, andcontentcolumns, appropriate policies, and thematch_documentscustom function (SQL provided in the workflow notes). - Generate Embeddings: Use the 'Embeddings OpenAI Insertion' node to create vector embeddings for your documents.
- Upsert to Supabase: Configure the 'Vector Store Supabase' node to upsert your data and embeddings into your Supabase table. Ensure the
tableNameandqueryNameare correctly set. - Set Up Chat Trigger: The 'When chat message received' node initiates the Q&A process, with initial greeting messages.
- Retrieve Information: The 'Vector Store Retriever' and 'Embeddings OpenAI Retrieval' nodes query your Supabase data based on user input.
- Generate Answers: The 'Question and Answer Chain' node, powered by an 'OpenAI Chat Model', constructs an answer using the retrieved information.
- Customize Output: The 'Customize Response' node formats the final answer for display.
Apps Used
Workflow JSON
{
"id": "7d9bdc30-3b36-4453-a62c-13e105983fcf",
"name": "Automate Your Knowledge Base with n8n and Supabase",
"nodes": 23,
"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: 7d9bdc30-3b36...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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