📘 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:

1. Receive Message from Slack: A webhook triggers when a message is posted in Slack.
2. Check if it’s a valid query: Filters out non-user messages (e.g., bot mentions).
3. Run Agent with RAG:
   • Uses GPT-4 with Query Data Tool to retrieve relevant document chunks.
   • Returns a well-formatted, context-aware answer.
4. Send Response to Slack: Fetches user info and posts the answer back in the same channel.
5. 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

1. 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)

2. 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.

3. 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?)

4. 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