💬 Enhance customer support with RAG-powered AI

⚡ 1,297 views · 💬 Support Chatbots

Description

This workflow automates customer support across multiple channels (Email, Live Chat, WhatsApp, Slack, Discord) using AI-powered responses enhanced with Retrieval Augmented Generation (RAG) and your product documentation. It intelligently handles incoming queries, provides instant and context-aware answers, and escalates complex or negative-sentiment cases to your human support team. All interactions are logged and categorized for easy tracking and reporting.

Key Features

• Omnichannel Support: Handles customer queries from Email, Live Chat, WhatsApp, Slack, and Discord.
• AI-Powered Answers: Uses RAG to generate accurate, context-aware responses based on your product documentation.
• Automatic Escalation: Detects low-confidence or negative-sentiment cases and escalates them to your human support team.
• Conversation Logging: Automatically logs and categorizes all conversations for future analysis.
• Weekly Reporting: Sends automated weekly summaries and metrics to your support team.

How It Works

1. Trigger: The workflow starts when a new message is received on any supported channel.
2. Normalization: Incoming messages are normalized into a common format for unified processing.
3. Context Management: Conversation history is fetched and merged with the new query for better AI context.
4. AI Response: The workflow uses RAG to generate a response, referencing your product documentation.
5. Confidence & Sentiment Analysis: The response is scored for confidence and sentiment.
6. Escalation Logic: If the response is low-confidence or negative, the workflow escalates the case to your support team and creates a ticket.
7. Response Delivery: The answer (or escalation notice) is sent back to the customer on the original channel.
8. Logging & Reporting: All interactions are logged, categorized, and included in weekly reports.

Configuration

1. Connect Your Channels: Set up triggers for each channel you want to support (Email, Webhook, WhatsApp, Slack, Discord).
2. Add Your Documentation: Integrate your product documentation source (e.g., Google Docs, Notion, or a knowledge base) for the RAG model.
3. Configure AI Model: Set your preferred AI provider and model (e.g., OpenAI, Azure OpenAI, etc.).
4. Set Escalation Rules: Adjust confidence thresholds and escalation logic to fit your support workflow.
5. Integrate Support Tools: Connect your ticketing system (e.g., Zendesk) and reporting tools (e.g., Google Sheets, Slack).
6. Test the Workflow: Send test queries from each channel to ensure correct routing, AI responses, and escalation.

Use Cases

• Provide instant, accurate answers to customer questions 24/7.
• Reduce manual workload for your support team by automating common queries.
• Ensure complex or sensitive cases are quickly escalated to human agents.
• Gain insights into support trends with automated logging and weekly reports.

Requirements

• n8n version 2.0.2 or later
• Accounts and credentials for your chosen channels and AI provider
• Access to your product documentation in a supported format

Notes

• Please review and customize the workflow to fit your company’s privacy and data handling policies.
• For best results, keep your product documentation up to date and well-structured.

🔗 Nodes Used

Email Trigger (IMAP), Send Email, Google Sheets, Slack, Webhook, Zendesk

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup