Automate CSV Attachment to Airtable with a RAG Agent
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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.
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About This Workflow
Overview
This n8n workflow is designed to automate the ingestion and processing of data from CSV attachments, specifically pushing it into Airtable. It utilizes a powerful Retrieval Augmented Generation (RAG) agent to intelligently understand and manage the incoming data. The workflow starts with a Webhook Trigger to receive data, followed by a Text Splitter to segment the content. Embeddings are generated using Cohere to create vector representations of the text, which are then stored in Pinecone for efficient retrieval. A Chat Model (Anthropic) is used in conjunction with the Vector Tool and Window Memory to form the core of the RAG agent, enabling it to understand context and retrieve relevant information. The RAG Agent then processes the input, and the results are logged to Google Sheets via the Append Sheet node. Error handling is included with a Slack Alert to notify of any issues.
Key Features
- Automated Data Ingestion: Trigger workflows via a webhook for seamless data input.
- Intelligent Data Processing: Utilizes a RAG agent for contextual understanding and processing of text data.
- Vector Database Integration: Stores and retrieves data efficiently using Pinecone.
- Data Logging to Airtable: Appends processed data to a specified Airtable sheet.
- Error Notification: Sends alerts to Slack in case of workflow failures.
How To Use
- Set up the Webhook: Configure the Webhook Trigger node with your desired path and HTTP method.
- Configure Text Splitting and Embeddings: Set up the Text Splitter and Embeddings nodes, ensuring your API keys and model preferences are correctly configured.
- Set up Pinecone: Create or select your Pinecone index and configure the Pinecone Insert and Pinecone Query nodes with the correct index name and credentials.
- Configure Chat Model and Agent: Choose your preferred Chat Model (e.g., Anthropic) and set up the Vector Tool, Window Memory, and RAG Agent nodes, including system messages and prompt types.
- Configure Google Sheets Output: Set up the Append Sheet node with your Google Sheets credentials, document ID, and sheet name to log the processed data.
- Set up Slack Alerts: Configure the Slack Alert node with your Slack API credentials to receive notifications on errors.
Apps Used
Workflow JSON
{
"id": "933b9cdd-698b-48ba-838e-35c357ac219f",
"name": "Automate CSV Attachment to Airtable with a 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.
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ID: 933b9cdd-698b...
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