🔍 Answer code of conduct questions in Slack with GPT-4 & RAG technology
⚡ 149 views · 🔍 AI RAG & Knowledge Retrieval
Description
📘 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 Toolto retrieve relevant document chunks. - Returns a well-formatted, context-aware answer.
- Uses GPT-4 with
- 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 |
🔗 Nodes Used
Slack, Webhook, Google Drive, AI Agent, Embeddings OpenAI, OpenAI Chat Model
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File