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

# Code of Conduct Q&A Slack Chatbot with RAG Powered [![Watch the video](https://wisestackai.s3.ap-southeast-1.amazonaws.com/code-of-conduct-qanda-chatbot-rag-powered-for-slack.jpg)](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 |

Platform
n8n
Category
Communication
Price
$14.99
Creator
Trung Tran

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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