AI chat with any data source (using the n8n workflow tool)

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Important notice

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

1. Workflow Overview

This AI agent can access data provided by another n8n workflow. Since that workflow can be used to retrieve any data from any service, this template can be used give an agent access to any data. No...

Best for

Internal Wiki automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.toolworkflow, n8n-nodes-base.executeworkflowtrigger, n8n-nodes-base.hackernews, n8n-nodes-base.set, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.agent

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: AI chat with any data source (using the n8n workflow tool)
Workflow name: AI chat with any data source (using the n8n workflow tool)

This AI agent can access data provided by another n8n workflow. Since that workflow can be used to retrieve any data from any service, this template can be used give an agent access to any data.

Note that to use this template, you need to be on n8n version 1.19.4 or later.

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 - Sticky Note

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

Block 2 - Sticky Note1

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

Block 3 - Sticky Note2

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

Block 4 - Sticky Note3

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

Block 5 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 6 - Custom tool to call the wf below1

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 2

Block 7 - When Executed by Another Workflow

Type / Role: n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices: Version 1.1

Block 8 - Hacker News

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

Block 9 - Clean up data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - Stringify

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 11 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.8

Block 12 - OpenAI Chat Model

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

3. Summary Table

Workflow	AI chat with any data source (using the n8n workflow tool)
Complexity	intermediate
Nodes	12
Categories	Internal Wiki, AI Chatbot
Author	David Roberts
Published	15 Dec 2023

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2026/2026.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 Internal Wiki workflows AI Chatbot workflows

Frequently asked questions

What does AI chat with any data source (using the n8n workflow tool) 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 Internal Wiki, AI Chatbot use case.

David Roberts

18 workflows

Nodes

n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.toolworkflow n8n-nodes-base.executeworkflowtrigger n8n-nodes-base.hackernews n8n-nodes-base.set n8n-nodes-base.code @n8n/n8n-nodes-langchain.agent

Complexity

intermediate

Published 15 Dec 2023

Likes 0

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Install path: /data/workflows/2026/2026.json

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AI chat with any data source (using the n8n workflow tool)

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Sticky Note1

Block 3 - Sticky Note2

Block 4 - Sticky Note3

Block 5 - When chat message received

Block 6 - Custom tool to call the wf below1

Block 7 - When Executed by Another Workflow

Block 8 - Hacker News

Block 9 - Clean up data

Block 10 - Stringify

Block 11 - AI Agent

Block 12 - OpenAI Chat Model

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