Query Slack channel history with natural language using OpenAI

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Chat with a Slack channel using AI. This workflow fetches the channel’s message history and lets you ask natural language questions (“what were the decisions?”, “who’s blocked?”, “summarize yesterd...

Best for

AI RAG automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.stickynote, n8n-nodes-base.slacktool, @n8n/n8n-nodes-langchain.lmchatopenai

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Robert Breen.

Original n8n.io source

1.1 Workflow description

Title: Query Slack channel history with natural language using OpenAI
Workflow name: Query Slack channel history with natural language using OpenAI

Chat with a Slack channel using AI. This workflow fetches the channel’s message history and lets you ask natural-language questions (“what were the decisions?”, “who’s blocked?”, “summarize yesterday”). The assistant only answers from the channel’s actual messages—no guessing.

⚙️ Setup Instructions

1️⃣ Set Up OpenAI Connection

Go to OpenAI Platform
Navigate to OpenAI Billing
Add funds to your billing account
Copy your API key into the OpenAI credentials in n8n

2️⃣ Connect Slack API

Create an app → <https://api.slack.com/apps>
OAuth & Permissions → add scopes you need to read channel history (typical:
channels:history, groups:history, im:history, mpim:history, plus channels:read, groups:read, users:read. Add chat:write if you want the bot to reply in Slack.)
Install the app to your workspace → copy the Bot User OAuth Token
In n8n → Credentials → New → Slack OAuth2 API → paste token and save
In the Slack History node, select your Slack credential and the Channel ID to read

🗣️ Example Questions You Can Ask

“Give me a 5-bullet summary of the last 24 hours.”
“What action items were assigned, and to whom?”
“List open questions that haven’t been answered yet.”
“Who was mentioned most this week?”
“Summarize decisions from the last sprint planning.”
“Show messages with the word ‘blocker’ from the past 2 days.”
“What files/links were shared today?”

📬 Contact

Need help customizing this or adding auto-replies back into Slack?

📧 [email protected]
🔗 Robert Breen
🌐 ynteractive.com

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Slack Channel Chatbot

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 2 - Chat with Slack

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.3

Block 3 - Sticky Note53

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Sticky Note52

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Sticky Note50

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Slack History

Type / Role: n8n-nodes-base.slackTool - slackTool
Config choices: Version 2.3

Block 8 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 9 - Sticky Note54

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Query Slack channel history with natural language using OpenAI
Complexity	intermediate
Nodes	9
Categories	AI RAG, Multimodal AI
Author	Robert Breen
Published	20 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7669/7669.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source AI RAG workflows Multimodal AI workflows

Frequently asked questions

What does Query Slack channel history with natural language using OpenAI do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your AI RAG, Multimodal AI use case.

Robert Breen

90 workflows

Nodes

@n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.chattrigger n8n-nodes-base.stickynote n8n-nodes-base.slacktool @n8n/n8n-nodes-langchain.lmchatopenai

Complexity

intermediate

Published 20 Aug 2025

Likes 0

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Install path: /data/workflows/7669/7669.json

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Query Slack channel history with natural language using OpenAI

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

⚙️ Setup Instructions

1️⃣ Set Up OpenAI Connection

2️⃣ Connect Slack API

🗣️ Example Questions You Can Ask

📬 Contact

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Slack Channel Chatbot

Block 2 - Chat with Slack

Block 3 - Sticky Note53

Block 4 - Sticky Note4

Block 5 - Sticky Note52

Block 6 - Sticky Note50

Block 7 - Slack History

Block 8 - OpenAI Chat Model

Block 9 - Sticky Note54

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions