Client FAQ bot with RAG using Google Drive PDFs & Azure GPT-4o-mini

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Description: Build your own AI powered Client FAQ system with Retrieval Augmented Generation (RAG) — fully automated using n8n, Google Drive, and Azure OpenAI (GPT 4o mini). This no code automation...

Best for

Support Chatbot automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.googledrive, n8n-nodes-base.respondtowebhook, n8n-nodes-base.webhook, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatazureopenai, n8n-nodes-base.set, n8n-nodes-base.extractfromfile, n8n-nodes-base.splitinbatches

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.

Original n8n.io source

1.1 Workflow description

Title: Client FAQ bot with RAG using Google Drive PDFs & Azure GPT-4o-mini
Workflow name: Client FAQ bot with RAG using Google Drive PDFs & Azure GPT-4o-mini

Description:

Build your own AI-powered Client FAQ system with Retrieval-Augmented Generation (RAG) — fully automated using n8n, Google Drive, and Azure OpenAI (GPT-4o-mini). This no-code automation enables your clients or team to ask questions through a webhook, and get precise answers sourced directly from a collection of PDF documents stored in Google Drive. Ideal for support teams, sales enablement, onboarding automation, and customer self-service — this RAG-powered bot ensures accurate, document-based answers with no hallucinations or AI guesses.

What This Template Does (Step-by-Step):

🌐 Webhook Trigger for Incoming Questions

Accepts POST requests with a client’s question
Triggers the entire FAQ automation on request

🗂️ Search Google Drive Folder for Source Documents

Connects to a specific Google Drive folder (e.g., “Case Studies”)
Fetches all PDFs to be used as the context source

📥 Downloads and Processes Each File

Downloads all matched files
Extracts clean text from each PDF file

🔄 Iterates Over Each File for Text Extraction

Loops through multiple files
Extracts relevant content from each file individually

🧠 Prepares Clean Context + Question for RAG

Combines the extracted PDF text into a single context block
Injects the user’s question into the RAG-ready prompt

💬 Azure OpenAI (GPT-4o-mini) RAG Prompt

Generates an accurate answer ONLY from the extracted documents
If the answer isn’t found, returns a fallback response

📤 Sends the Final Response Back via Webhook

Returns the AI-generated answer directly to the client via HTTP response

Perfect For:

📞 Sales & client onboarding teams 📚 Knowledge base & internal SOP support 🧑‍💻 B2B SaaS customer success teams 🏢 Enterprises automating policy or document queries 💼 Agencies offering client-specific documentation portals

Built With:

Webhook Trigger (n8n)
Google Drive API (search + download)
PDF Text Extractor
Loop / Split Batches
Azure OpenAI GPT-4o-mini via LangChain LLM
Context-safe RAG prompt logic
Webhook Response for real-time delivery

Key Benefits:

✅ Fast, context-aware answers from internal PDFs 🔒 No hallucinations — AI only responds using uploaded documents 📎 Works with any internal client folder in Google Drive 💬 Easily embed into any app, bot, or portal via Webhook 🧩 100% modular — extend with email, Slack, CRM, or ticketing tools

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Download File

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 1

Block 2 - Return Answer

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1

Block 3 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 4 - Search files and folders

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 5 - Basic LLM Chain

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 6 - Azure OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatAzureOpenAi - lmChatAzureOpenAi
Config choices: Version 1

Block 7 - Edit Fields

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 8 - Extract from File

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

Block 9 - Edit Fields1

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - Loop Over Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 11 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Sticky Note7

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 19 - Sticky Note8

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 20 - Sticky Note9

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Client FAQ bot with RAG using Google Drive PDFs & Azure GPT-4o-mini
Complexity	advanced
Nodes	20
Categories	Support Chatbot, AI RAG
Author	Rahul Joshi
Published	06 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7052/7052.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI RAG workflows

Frequently asked questions

What does Client FAQ bot with RAG using Google Drive PDFs & Azure GPT-4o-mini do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI RAG use case.

Rahul Joshi

269 workflows

Nodes

n8n-nodes-base.googledrive n8n-nodes-base.respondtowebhook n8n-nodes-base.webhook @n8n/n8n-nodes-langchain.chainllm @n8n/n8n-nodes-langchain.lmchatazureopenai n8n-nodes-base.set n8n-nodes-base.extractfromfile n8n-nodes-base.splitinbatches

Complexity

advanced

Published 06 Aug 2025

Likes 0

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Install path: /data/workflows/7052/7052.json

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Client FAQ bot with RAG using Google Drive PDFs & Azure GPT-4o-mini

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Download File

Block 2 - Return Answer

Block 3 - Webhook

Block 4 - Search files and folders

Block 5 - Basic LLM Chain

Block 6 - Azure OpenAI Chat Model

Block 7 - Edit Fields

Block 8 - Extract from File

Block 9 - Edit Fields1

Block 10 - Loop Over Items

Block 11 - Sticky Note

Block 12 - Sticky Note1

Block 13 - Sticky Note2

Block 14 - Sticky Note3

Block 15 - Sticky Note4

Block 16 - Sticky Note5

Block 17 - Sticky Note6

Block 18 - Sticky Note7

Block 19 - Sticky Note8

Block 20 - Sticky Note9

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions