Streamline Your Chatbot Data with Supabase Postgres Integration
detail.loadingPreview
Effortlessly manage your AI chatbot conversations by seamlessly integrating with Supabase Postgres. This workflow automates the storage and retrieval of chat history, enhancing your AI's context and personalization.
About This Workflow
This n8n workflow automates the crucial task of managing AI chatbot conversation data by integrating with Supabase's powerful Postgres database. It begins with a manual trigger for testing, followed by setting sample input variables to simulate user interactions. The core of the workflow utilizes Gemini Flash 2.0 for AI processing and then leverages the Supabase Postgres Chat Memory node to store conversation history, keyed by session ID. Finally, it updates additional user details in the Supabase table and uses an n8n agent to process the chat input, ensuring your AI has persistent memory and context for more intelligent responses. This empowers your AI applications with robust data management.
Key Features
- Automated Chat History Storage: Persistently store and retrieve AI chatbot conversations using Supabase Postgres.
- Enhanced AI Context: Improve AI responses by providing it with past interaction context via memory nodes.
- Dynamic Data Updates: Automatically update user information like names and addresses in your database.
- Flexible Triggering: Easily test and trigger the workflow manually or integrate it into broader automation pipelines.
- Powerful AI Integration: Leverages Google's Gemini Flash 2.0 for intelligent language processing.
How To Use
- Manual Trigger: Click the 'Test workflow' button to initiate the process.
- Set Input Variables: Configure the 'Set sample Input Variables' node with your desired
session_id,name, andchatInputfor testing. - AI Processing: The 'GeminiFlash2.0' node processes the input, and the 'Sample Agent' node uses it with system messages.
- Memory Integration: Connect the 'Supabase Postgres Database' node to your Supabase project and specify your table and session key configuration.
- Data Update: Configure the 'Update additonal Values e.g. Name, Address ...' node to update your Supabase table based on session ID and other relevant fields, mapping input variables.
- Credentials: Ensure you have set up the necessary credentials for Google Gemini API and Supabase in your n8n instance.
Apps Used
Workflow JSON
{
"id": "0183d95d-e90a-415b-bf9e-7810558b3f49",
"name": "Streamline Your Chatbot Data with Supabase Postgres Integration",
"nodes": 17,
"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: 0183d95d-e90a...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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.