Automate JSON to Google Sheets with RAG Agent
detail.loadingPreview
This n8n workflow automates the process of converting incoming JSON data into a Google Sheet. It leverages a RAG Agent to process the data and then appends it to a specified sheet, with error handling via Slack alerts.
🚀Ready to Deploy This Workflow?
About This Workflow
Overview
This n8n workflow is designed to automatically ingest JSON data from a webhook, process it using a RAG (Retrieval-Augmented Generation) Agent, and then append the processed information into a Google Sheet. The workflow starts with a Webhook Trigger to receive data, followed by Text Splitter to prepare the content. Embeddings are generated to create vector representations, which are then inserted into a Pinecone Insert vector store. A Pinecone Query and Vector Tool enable the retrieval of relevant information. The core processing happens with the RAG Agent node, which uses the retrieved context and memory (Window Memory, Chat Model) to act upon the incoming JSON. Finally, the results are appended to a Google Sheet using the Append Sheet node. Error handling is implemented with a Slack Alert node to notify of any issues.
Key Features
- Real-time JSON data ingestion via Webhook Trigger.
- Advanced data processing using a RAG Agent for context-aware operations.
- Seamless integration with Pinecone for vector storage and retrieval.
- Automatic appending of processed data to a Google Sheet.
- Robust error reporting through Slack notifications.
How To Use
- Set up Webhook Trigger: Configure the
Webhook Triggernode with your desired path (e.g.,/json-to-sheet). - Configure Text Splitter & Embeddings: Adjust
Text Splitterparameters for optimal text segmentation and select your preferred embedding model in theEmbeddingsnode. - Set up Pinecone: Ensure your Pinecone index (e.g.,
json_to_sheet) is created and credentials are set up correctly for bothPinecone InsertandPinecone Query. - Configure RAG Agent: Customize the system message and prompt in the
RAG Agentnode to define how it should process your JSON data. Link theVector ToolandWindow Memoryappropriately. - Configure Google Sheets: Set the
SHEET_IDandLogsheet name in theAppend Sheetnode and authenticate with your Google account. - Set up Slack Alert: Configure the
Slack Alertnode with your Slack credentials and desired channel for error notifications.
Apps Used
Workflow JSON
{
"id": "1155b0b0-77c0-4c3f-9c9b-37c29b0dd4bf",
"name": "Automate JSON to Google Sheets with RAG Agent",
"nodes": 0,
"category": "Misc",
"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: 1155b0b0-77c0...
About the Author
Free n8n Workflows Official
System Admin
The official repository for verified enterprise-grade workflows.
Statistics
Verification Info
Related Workflows
Discover more workflows you might like
Automated Drink Water Reminder Workflow
This workflow uses n8n and Langchain to create an automated drink water reminder system. It leverages a Webhook Trigger, Text Splitter, Embeddings, and Supabase for RAG agent functionality, ultimately logging reminders to a Google Sheet.
Integrate Blog Comments with Discord via Webhook and AI
This workflow automates the process of receiving blog comments via a Webhook Trigger and processing them using Langchain AI. The processed comments are then stored in Supabase and logged to a Google Sheet, with error alerts sent to Slack.
Automate CSV Attachment to Airtable with a RAG Agent
This n8n workflow automates the process of handling CSV attachments by using a Retrieval Augmented Generation (RAG) agent. It leverages a Webhook Trigger, Text Splitter, Embeddings, Pinecone, and a Chat Model to intelligently process and log data.