Communication & Messaging
Slack AI Chatbot with RAG for company staff
Slack AI Chatbot with RAG for company staff
Complex
High
21
Nodes
Complex
Trigger
High
Complexity
7/22/2025
Added
Workflow Overview
Total Nodes
21
Node Types
14
Node Types
agent
AI Agent
1 node
memory Buffer Window
Simple Memory
1 node
embeddings Open Ai
Embeddings OpenAI1, Embeddings OpenAI2
2 nodes
vector Store Qdrant
RAG, Qdrant Vector Store1
2 nodes
tool Calculator
Calculator
1 node
slack Trigger
Get message
1 node
slack
Send message
1 node
manual Trigger
When clicking ‘Test workflow’
1 node
http Request
Create collection, Refresh collection
2 nodes
google Drive
Get folder, Download Files
2 nodes
document Default Data Loader
Default Data Loader
1 node
text Splitter Token Splitter
Token Splitter
1 node
sticky Note
Sticky Note3, Sticky Note5, Sticky Note2, Sticky Note4
4 nodes
lm Chat Anthropic
Anthropic Chat Model
1 node
Workflow JSON
17.15 KB
{
"id": "SHpLY12UobbcWRnl",
"meta": {
"instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
"templateCredsSetupCompleted": true
},
"name": "Slack AI Chatbot with RAG for company staff",
"tags": [],
"nodes": [
{
"id": "df994f64-af5b-49f5-ad83-5c4b69983d41",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-780,
340
],
"parameters": {
"text": "={{ $json.blocks[0].elements[0].elements[1].text }}",
"options": {
"systemMessage": "=You are an AI assistant connected to the company's internal knowledge base through a RAG (Retrieval Augmented Generation) system. Your purpose is to help team members quickly find and understand information from company documents.\n\nCORE RESPONSIBILITIES:\n- Respond to queries about company policies, procedures, documentation, and internal knowledge\n- Provide concise, accurate information retrieved from the...Showing first 1000 characters. Click "Expand" to view the full JSON.