Automated Customer Sentiment Analysis and Insights
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Leverage AI to automatically analyze customer sentiment from incoming feedback. This workflow processes text, generates embeddings, stores them in a vector database, and uses a RAG agent to provide insightful sentiment analysis.
About This Workflow
This n8n workflow provides a robust solution for automatically analyzing customer sentiment. It begins by receiving feedback via a webhook, then intelligently splits and embeds the text using advanced AI models. The embeddings are stored in a Pinecone vector database for efficient retrieval. A Retrieval Augmented Generation (RAG) agent, powered by an Anthropic chat model, then queries this data to understand and report on customer sentiment. The results are logged to a Google Sheet for easy tracking, and critical errors are immediately flagged via Slack.
Key Features
- Real-time Sentiment Analysis: Process customer feedback as it arrives through a webhook.
- AI-Powered Text Processing: Utilizes advanced embedding models for deep text understanding.
- Vector Database Integration: Efficiently stores and retrieves sentiment data using Pinecone.
- Intelligent RAG Agent: Leverages large language models for sophisticated analysis and response generation.
- Automated Logging & Alerting: Seamlessly logs results to Google Sheets and sends error alerts to Slack.
How To Use
- Set up Webhook: Configure the 'Webhook Trigger' node to receive incoming customer feedback.
- Configure Text Processing: Adjust 'Text Splitter' parameters (chunk size, overlap) for optimal text segmentation.
- Connect AI Models: Ensure your Cohere API credentials are set up for 'Embeddings' and your Anthropic API credentials for the 'Chat Model'.
- Integrate Vector Database: Set up your Pinecone credentials and specify your 'customer_sentiment_analysis' index for both 'Pinecone Insert' and 'Pinecone Query' nodes.
- Configure RAG Agent: Define the system message for the 'RAG Agent' to guide its sentiment analysis.
- Google Sheets Integration: Link your Google Sheets account and specify the 'SHEET_ID' and 'Log' sheet name for data logging.
- Slack Alerts: Configure your Slack API credentials to receive real-time error notifications.
Apps Used
Workflow JSON
{
"id": "cecd16df-1d58-4949-b4ce-3e4b708fa9cf",
"name": "Automated Customer Sentiment Analysis and Insights",
"nodes": 8,
"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: cecd16df-1d58...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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