Answer Code of Conduct Questions in Slack with GPT-4 & RAGE Technology

# Code of Conduct Q&A Slack Chatbot with RAG Powered [](https://www.youtube.com/watch?v=2EWgC5UKiBQ) > 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, and 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 | 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 |