Answer code of conduct questions in Slack with GPT-4 & RAG technology
Ready for 3.0What this workflow does
This AI workflow has 14 nodes and runs when an HTTP POST request hits its webhook URL (plus 1 other trigger). Along the way it connects OpenAI Chat Model, Slack, Google Drive and Embeddings OpenAI.
How it runs
Trigger: When an HTTP POST request hits its webhook URL (plus 1 other trigger).
- Is user message? (If): checks a condition and branches into true / false
- Insert Data to Store (Simple Vector Store): stores documents in the Simple vector store, with embeddings: Embeddings OpenAI; document loader: Default Data Loader
- Code: runs custom JavaScript code
- Code Of Conduct Agent (AI Agent): runs an AI agent, with model: gpt4-1 model; 1 tool (Query Data Tool)
- Backup document(s) to Google Drive (Google Drive): uses Google Drive
- Get information about a user (Slack): work with user
- Send result in the mentioned channel (Slack): uses Slack
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (12)
- If
n8n-nodes-base.if - No Operation, do nothing
n8n-nodes-base.noOp - Webhook
n8n-nodes-base.webhook - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Slack
n8n-nodes-base.slack - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Simple Vector Store
@n8n/n8n-nodes-langchain.vectorStoreInMemory - Code
n8n-nodes-base.code - n8n Form Trigger
n8n-nodes-base.formTrigger - Google Drive
n8n-nodes-base.googleDrive - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
📘 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…