Client FAQ Bot: RAG with Google Drive PDFs & Azure GPT-4o-mini

This n8n workflow creates an intelligent Client FAQ Bot tailored for healthcare, specifically lab results inquiries. It uses Retrieval-Augmented Generation (RAG) to process questions received via webhook, searching a designated Google Drive folder for relevant PDF documents like lab reports, protocols, and guidelines. The system automatically downloads, extracts text from multiple PDFs, combines the content into a clean context, and feeds it to Azure OpenAI's GPT-4o-mini model with a structured prompt ensuring answers are strictly based on the documents.

Key benefits include eliminating AI hallucinations by grounding responses in real documents, enabling 24/7 self-service for clients, and saving support teams hours on repetitive queries. In healthcare settings, it ensures compliance and accuracy for lab result interpretations, patient FAQs, and procedural questions without exposing sensitive data unnecessarily.

Ideal use cases: Lab result explanations for patients, clinician onboarding with protocol PDFs, customer support for diagnostic services, and B2B healthcare sales teams answering feature-specific queries from case studies. Perfect for clinics, labs, and telehealth providers seeking scalable, no-code automation.

The workflow handles multiple files seamlessly via iteration nodes, provides fallback responses for unanswered queries, and returns results instantly via HTTP, integrating effortlessly into chat apps, websites, or Slack.