Answer code of conduct questions in Slack with GPT-4 & RAG technology

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Important notice

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

1. Workflow Overview

Code of Conduct Q&A Slack Chatbot with RAG Powered [ ](https://www.y...

Best for

AI RAG automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.if, n8n-nodes-base.noop, n8n-nodes-base.webhook, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.slack, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.documentdefaultdataloader, @n8n/n8n-nodes-langchain.vectorstoreinmemory

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Answer code of conduct questions in Slack with GPT-4 & RAG technology
Workflow name: Answer code of conduct questions in Slack with GPT-4 & RAG technology

📘 Code of Conduct Q&A Slack Chatbot with RAG Powered

> Empower employees to instantly access and understand the company’s Code of Conduct via a Slack chatbot, powered by Retrieval-Augmented Generation (RAG) and LLMs.

🧑‍💼 Who’s it for

This workflow is designed for:

HR and compliance teams to automate policy-related inquiries
Employees who want quick answers to Code of Conduct questions directly inside Slack
Startups or enterprises that need internal compliance self-service tools powered by AI

⚙️ How it works / What it does

This RAG-powered Slack chatbot answers user questions based on your uploaded Code of Conduct PDF using GPT-4 and embedded document chunks. Here's the flow:

Receive Message from Slack: A webhook triggers when a message is posted in Slack.
Check if it’s a valid query: Filters out non-user messages (e.g., bot mentions).
Run Agent with RAG:
- Uses GPT-4 with Query Data Tool to retrieve relevant document chunks.
- Returns a well-formatted, context-aware answer.
Send Response to Slack: Fetches user info and posts the answer back in the same channel.
Document Upload Flow:
- HR can upload the PDF Code of Conduct file.
- It’s parsed, chunked, embedded using OpenAI, and stored for future query retrieval.
- A backup copy is saved to Google Drive.

🛠️ How to set up

Prepare your environment:
- Slack Bot token & webhook configured (Sample slack app manifest: https://wisestackai.s3.ap-southeast-1.amazonaws.com/slack_bot_manifest.json)
- OpenAI API key (for GPT-4 & embedding)
- Google Drive credentials (optional for backup)
Upload the Code of Conduct PDF:
- Use the designated node to upload your document (Sample file: https://wisestackai.s3.ap-southeast-1.amazonaws.com/20220419-ingrs-code-of-conduct-policy-en.pdf)
- This triggers chunking → embedding → data store.
Deploy the chatbot:
- Host the webhook and connect it to your Slack app.
- Share the command format with employees (e.g., @CodeBot Can I accept gifts from partners?)
Monitor and iterate:
- Improve chunk size or embed model if queries aren’t accurate.
- Review unanswered queries to enhance coverage.

📋 Requirements

n8n (Self-hosted or Cloud)
Slack App (with chat:write, users:read, commands)
OpenAI account (embedding + GPT-4 access)
Google Drive integration (for backups)
Uploaded Code of Conduct in PDF format

🧩 How to customize the workflow

What to Customize	How to Do It
🔤 Prompt style	Edit the System & User prompts inside the `Code Of Conduct Agent` node
📄 Document types	Upload additional policy PDFs and tag them differently in metadata
🤖 Agent behavior	Tune GPT temperature or replace with different LLM
💬 Slack interaction	Customize message formats or trigger phrases
📁 Data Store engine	Swap to Pinecone, Weaviate, Supabase, etc. depending on use case
🌐 Multilingual support	Preprocess text and support locale detection via Slack metadata

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 - Is user message?

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 2 - No Operation, do nothing

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

Block 3 - Webhook

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

Block 4 - gpt4-1 model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 5 - Send result in the mentioned channel

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.3

Block 6 - Get information about a user

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.3

Block 7 - Sticky Note

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

Block 8 - Default Data Loader

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1.1

Block 9 - Insert Data to Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreInMemory - vectorStoreInMemory
Config choices: Version 1.2

Block 10 - Code

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

Block 11 - Upload your PDF document here

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Block 12 - Backup document(s) to Google Drive

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

Block 13 - Embeddings OpenAI

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 14 - Query Data Tool

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreInMemory - vectorStoreInMemory
Config choices: Version 1.2

Block 15 - Code Of Conduct Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.1

Block 16 - Sticky Note1

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

Block 17 - Sticky Note2

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

Block 18 - Sticky Note3

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

Block 19 - Sticky Note4

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

Block 20 - Sticky Note5

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

Block 21 - Sticky Note6

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

Block 22 - Sticky Note7

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

Block 23 - Sticky Note8

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

Block 24 - Sticky Note9

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

3. Summary Table

Workflow	Answer code of conduct questions in Slack with GPT-4 & RAG technology
Complexity	advanced
Nodes	24
Categories	AI RAG, Multimodal AI
Author	Trung Tran
Published	22 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7722/7722.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 AI RAG workflows Multimodal AI workflows

Frequently asked questions

What does Answer code of conduct questions in Slack with GPT-4 & RAG technology do?

Code of Conduct Q&A Slack Chatbot with RAG Powered [ ](https://www.y...

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 AI RAG, Multimodal AI use case.

Trung Tran

35 workflows

Nodes

n8n-nodes-base.if n8n-nodes-base.noop n8n-nodes-base.webhook @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.slack n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.documentdefaultdataloader @n8n/n8n-nodes-langchain.vectorstoreinmemory

Complexity

advanced

Published 22 Aug 2025

Likes 0

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Install path: /data/workflows/7722/7722.json

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Answer code of conduct questions in Slack with GPT-4 & RAG technology

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

📘 Code of Conduct Q&A Slack Chatbot with RAG Powered

🧑‍💼 Who’s it for

⚙️ How it works / What it does

🛠️ How to set up

📋 Requirements

🧩 How to customize the workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Is user message?

Block 2 - No Operation, do nothing

Block 3 - Webhook

Block 4 - gpt4-1 model

Block 5 - Send result in the mentioned channel

Block 6 - Get information about a user

Block 7 - Sticky Note

Block 8 - Default Data Loader

Block 9 - Insert Data to Store

Block 10 - Code

Block 11 - Upload your PDF document here

Block 12 - Backup document(s) to Google Drive

Block 13 - Embeddings OpenAI

Block 14 - Query Data Tool

Block 15 - Code Of Conduct Agent

Block 16 - Sticky Note1

Block 17 - Sticky Note2

Block 18 - Sticky Note3

Block 19 - Sticky Note4

Block 20 - Sticky Note5

Block 21 - Sticky Note6

Block 22 - Sticky Note7

Block 23 - Sticky Note8

Block 24 - 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