IT Ops AI SlackBot Workflow - Chat with your knowledge base — n8n Workflow

Medium complexity🔗 Webhook11 nodes AI👁 27,843 viewsby Angel Menendez

Overview

Video Demo:

Click here to see a video of this workflow in action.

Summary Description:

The "IT Department Q&A Workflow" is designed to streamline and automate the process of handling IT-related inquiries from employees through Slack. When an employee sends a direct message (DM) to the IT department's Slack channel, the workflow is triggered. The initial step involves the "Receive DMs" node, which listens for new messages. Upon receiving a message, the workflow verifies the webhook by respondi

Nodes used

SlackAI AgentOpenAI Chat ModelSimple MemoryCall n8n Workflow Tool

Workflow Preview

!Imgur
Webhook Trigger
The first node receives all messages from Slack API via
!n8n
Check for Bot Responses
If the message received is from a Bot instead of a real
!Slack
Delete Receipt and Send Response
Once the AI response is generated in response to the sl
!OpenAI
Parse Response with AI Model
This workflow currently uses OpenAI to power it's respo
!Slack
Response Received
Once N8n sees that the messaged received is from a user
!n8n
Build n8n workflow to query Knowledge Base
Building your own tools for an AI Agent to use is simpl
!n8n
Remembers the last 5 messages that a user sent
Because we are passing the channel ID of the user to th
!OpenAI
Change the AI Agents LLM
To change the model used, simply delete the ChatGPT mod
!n8n
Streamline IT Inquiries with n8n & AI!
Introducing the IT Ops AI SlackBot Workflow---a sophist
modelmemorytool
V
Verify Webhook
OpenAI Chat Model
N
No Operation, do nothing
Window Buffer Memory
C
Check if Bot
Send Initial Message
Delete Initial Message
Send Message
R
Receive DMs
Call Confluence Workflow…
AI Agent
11 nodes10 edges

How it Works

  1. 1

    Trigger

    The workflow starts with a webhook trigger.

  2. 2

    Process

    Data flows through 11 nodes, connecting agent, if, lmchatopenai.

  3. 3

    Output

    The workflow completes its automation and delivers the result to the configured destination.

Node Details (11)

SL

Slack

slack

#1
AI

AI Agent

n8n-nodes-langchain.agent

#2
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#3
SI

Simple Memory

n8n-nodes-langchain.memoryBufferWindow

#4
CA

Call n8n Workflow Tool

n8n-nodes-langchain.toolWorkflow

#5

How to Import This Workflow

  1. 1Click Download JSON button on the right to save the workflow file.
  2. 2Open your n8n instance. Go to Workflows → New → Import from file.
  3. 3Select the downloaded it-ops-ai-slackbot-workflow-chat-with-your-knowledge-base file and click Import.
  4. 4Set up credentials for each service node (API keys, OAuth, etc.).
  5. 5Click Test Workflow to verify everything works, then activate it.

Or paste directly in n8n → Import from JSON:

{ "name": "IT Ops AI SlackBot Workflow - Chat with your knowledge base", "nodes": [...], ...}

Integrations

agentiflmchatopenaimemorybufferwindowrespondtowebhookslacktoolworkflowwebhook

Get This Workflow

Download and import in one click

Download JSONView on n8n.io
Nodes11
Complexitymedium
Triggerwebhook
Views27,843
CategoryAI

Created by

Angel Menendez

Angel Menendez

@djangelic

Tags

agentiflmchatopenaimemorybufferwindowrespondtowebhookslacktoolworkflowwebhook

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