Chat Hub Web Search Agent with Tavily Search

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1. Workflow Overview

A blazing fast research agent that works nativly in n8n's Chat Hub. This agent is preconfigured with an optional system prompt for both Chat Hub and t...

Best for

Market Research automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.agent, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.chattrigger, @tavily/n8n-nodes-tavily.tavilytool

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Chat Hub Web Search Agent with Tavily Search
Workflow name: Chat Hub Web Search Agent with Tavily Search

A blazing fast research agent that works nativly in n8n's Chat Hub.

This agent is preconfigured with an optional system prompt for both Chat Hub and to use the Tavily search tool.

Setup Steps

Sign up for the generous Tavily Free Tier
Add your Tavily API key in the credentials in the tool
Never use a search engine again!

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 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 2 - Sticky Note2

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

Block 3 - Simple Memory

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

Block 4 - Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 5 - Sticky Note

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

Block 6 - Sticky Note4

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

Block 7 - Sticky Note7

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

Block 8 - When chat message received in Chat Hub

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.4

Block 9 - Search

Type / Role: @tavily/n8n-nodes-tavily.tavilyTool - tavilyTool
Config choices: Version 1

3. Summary Table

Workflow	Chat Hub Web Search Agent with Tavily Search
Complexity	intermediate
Nodes	9
Categories	Market Research, AI Chatbot
Author	Liam McGarrigle
Published	10 Feb 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/13271/13271.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 Market Research workflows AI Chatbot workflows

Frequently asked questions

What does Chat Hub Web Search Agent with Tavily Search do?

A blazing fast research agent that works nativly in n8n's Chat Hub. This agent is preconfigured with an optional system prompt for both Chat Hub and t...

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 Market Research, AI Chatbot use case.

Liam McGarrigle

4 workflows

Nodes

@n8n/n8n-nodes-langchain.agent n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.lmchatopenrouter @n8n/n8n-nodes-langchain.chattrigger @tavily/n8n-nodes-tavily.tavilytool

Complexity

intermediate

Published 10 Feb 2026

Likes 0

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Install path: /data/workflows/13271/13271.json

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Chat Hub Web Search Agent with Tavily Search

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Setup Steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - AI Agent

Block 2 - Sticky Note2

Block 3 - Simple Memory

Block 4 - Chat Model

Block 5 - Sticky Note

Block 6 - Sticky Note4

Block 7 - Sticky Note7

Block 8 - When chat message received in Chat Hub

Block 9 - Search

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