n8n FAQ Webhook Workflow: Answer with OpenAI Fallback

Instant FAQ answers from your n8n webhook—with an OpenAI fallback for unknown questions

This n8n FAQ Webhook Workflow answers customer questions immediately. It checks your built-in FAQ knowledge base for the best match, and if none is found (or the AI call fails), it uses OpenAI to draft a safe, knowledge-base-only response with a polite fallback for human review.

What this workflow does

• Receives questions via a POST webhook endpoint—your chat widget or helpdesk sends a customer message (and optionally customer_name and channel).
• Loads and normalizes your FAQ knowledge base, mapping the incoming payload into a message, customer name, and channel format for processing.
• Scores the customer question against FAQ entries to find the best matching question/answer pair.
• Returns the matched FAQ answer immediately when the match meets the configured threshold.
• Generates an AI response when no match is found by calling the OpenAI Chat Completions API, using the FAQ content plus the customer question—constrained to knowledge-base material.
• Handles AI errors safely: if the OpenAI request fails or returns empty content, it sends a polite fallback response and flags it for human review.

Use cases

• SaaS support teams that want faster responses for common questions via an n8n webhook.
• Automation engineers building a helpdesk-style FAQ assistant without fully replacing human support.
• Sites using a chat widget that can POST user questions and receive knowledge-base-only answers.
• Organizations migrating FAQs into an n8n-powered Q&A experience with reliable fallbacks.

Technical details

• Nodes/logic used: if, set, code, webhook, sticky note, http request
• OpenAI integration: HTTP request to the OpenAI Chat Completions API (requires adding your OpenAI API key in the Authorization header).
• Setup: replace sample Q&A (and optional tags) in the embedded knowledge base code with your support content, activate the workflow, and use the production webhook URL.