Automated FAQ Response with Webhook and AI
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This workflow automatically replies to frequently asked questions (FAQs) received via a webhook. It uses Langchain nodes like Text Splitter, Embeddings, and a RAG Agent to process incoming queries and retrieve relevant information from a Pinecone vector store.
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About This Workflow
Overview
This n8n workflow is designed to automate responses to frequently asked questions (FAQs) submitted through a webhook. It leverages the power of Langchain to process incoming text, embed it, query a vector database (Pinecone), and generate contextually relevant answers. The workflow first splits the incoming text using the Text Splitter node, then creates embeddings with the Embeddings node. These embeddings are then inserted into or queried from a Pinecone vector store. A RAG Agent, equipped with a Chat Model and Window Memory, uses a Vector Tool to retrieve and synthesize information, ultimately generating an automated response.
This workflow is particularly useful for businesses or services that receive a high volume of repetitive customer inquiries and wish to provide instant, accurate responses without manual intervention. It automates a customer support task, improves response times, and can log the status of each interaction.
Key Features
- Webhook Trigger: Accepts incoming FAQ requests via an HTTP POST request.
- Text Processing: Utilizes
Text Splitterto segment input for efficient processing. - Vector Database Integration: Integrates with
Pineconefor efficient storage and retrieval of FAQ data. - AI-Powered Responses: Employs Langchain's
RAG AgentandChat Modelfor intelligent response generation. - Contextual Memory: Uses
Window Memoryto maintain conversation context. - Automated Logging: Appends interaction status to a Google Sheet using
Append Sheet. - Error Alerting: Sends alerts to Slack via
Slack Alertin case of workflow errors.
How To Use
- Configure Webhook Trigger: Set up the
Webhook Triggernode with your desired path (e.g.,auto-reply-to-faqs). - Set up Text Splitter: Configure the
Text Splitternode with appropriatechunkSizeandchunkOverlapvalues for your FAQ content. - Configure Embeddings: Set up the
Embeddingsnode, ensuring your Cohere API credentials are provided. - Set up Pinecone: Configure the
Pinecone InsertandPinecone Querynodes. Specify your Pinecone index name (e.g.,auto_reply_to_faqs) and ensure your Pinecone API credentials are set. - Configure RAG Agent: Set up the
Chat ModelandRAG Agentnodes. Provide your Anthropic API credentials and define a system message for the agent. - Connect Vector Tool and Memory: Link the
Pinecone Queryoutput to theVector Tooland theWebhook TriggertoWindow MemoryandVector Tool. - Connect Agent Inputs: Connect the
Vector ToolandWindow Memoryto theRAG Agent. - Configure Google Sheets: Set up the
Append Sheetnode with your Google Sheet ID and sheet name (e.g., 'Log') to record interaction status. - Configure Slack Alert: Set up the
Slack Alertnode with your Slack API credentials to receive error notifications. - Execute and Test: Activate the workflow and send requests to your webhook URL to test the automated FAQ responses.
Apps Used
Workflow JSON
{
"id": "a2527e72-4b59-4a3b-93bc-44de9a8d2d53",
"name": "Automated FAQ Response with Webhook and AI",
"nodes": 0,
"category": "Email_Automation",
"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: a2527e72-4b59...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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