Record Crypto Prices to Supabase and Log
detail.loadingPreview
This n8n workflow automatically records cryptocurrency price data received via a Webhook Trigger and stores it in Supabase using Langchain embeddings. It then logs the status to Google Sheets and sends Slack alerts on errors.
🚀Ready to Deploy This Workflow?
About This Workflow
Overview
This n8n workflow is designed to ingest cryptocurrency price data in real-time and persist it for further analysis or record-keeping. It leverages the power of Langchain for embedding the incoming data, which is then stored in a Supabase vector database. A Webhook Trigger initiates the process, allowing external systems to send crypto price updates. The workflow includes text splitting for processing larger data chunks and uses Cohere for embeddings. For retrieval and intelligent processing, it integrates with a Supabase vector store, a Vector Tool, and a RAG Agent. The status of the operation is logged to a Google Sheet using the Append Sheet node, and any errors encountered during the process are immediately reported via a Slack Alert. This solution is ideal for applications requiring real-time, structured storage of volatile data like cryptocurrency prices.
Key Features
- Real-time data ingestion via Webhook Trigger.
- Langchain integration for advanced data processing and embedding.
- Supabase vector store for efficient storage and retrieval of embeddings.
- Automated logging to Google Sheets for operational tracking.
- Error notifications via Slack alerts for immediate issue resolution.
- Flexible configuration for text splitting and embedding models.
How To Use
- Set up a Webhook Trigger node to receive incoming cryptocurrency price data.
- Configure the Text Splitter node to process the incoming data appropriately.
- Set up the Cohere Embeddings node with your API credentials to generate vector embeddings.
- Configure the Supabase Insert node with your Supabase credentials and a suitable index name to store the embeddings.
- Set up the Supabase Query and Vector Tool nodes to enable intelligent retrieval of stored data.
- Configure the RAG Agent node, along with the Window Memory and Chat Model nodes, to process queries using the retrieved data.
- Connect the Append Sheet node to your Google Sheets account to log the operational status and results.
- Configure the Slack Alert node with your Slack API credentials to receive error notifications.
Apps Used
Workflow JSON
{
"id": "e802ab42-dc6c-4028-8a20-e041bc46ad80",
"name": "Record Crypto Prices to Supabase and Log",
"nodes": 0,
"category": "Data Processing",
"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: e802ab42-dc6c...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
Statistics
Verification Info
Related Workflows
Discover more workflows you might like
Multilingual Metadata Generation from Gmail and Google Sheets
Automate structured metadata generation in English and Chinese by processing Gmail emails and Google Sheets data.
Generate Structured Metadata in English and Chinese
This workflow demonstrates how to generate structured metadata in both English and Chinese. It fetches data, processes it, and saves it in a structured format.
Search, Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks
Automate web scraping and data summarization using Bright Data and AI models like Google Gemini, sending structured output to webhooks.