Build a smart chatbot with GPT-5-nano, web search & conversational memory

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Important notice

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

1. Workflow Overview

This is an n8n workflow designed to implement an advanced AI chatbot with real time conversation and search capabilities. Configured with a minimalist European design, this chatbot is ready to be i...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.chat, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.httprequesttool, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Build a smart chatbot with GPT-5-nano, web search & conversational memory
Workflow name: Build a smart chatbot with GPT-5-nano, web search & conversational memory

This is an n8n workflow designed to implement an advanced AI chatbot with real-time conversation and search capabilities. Configured with a minimalist European design, this chatbot is ready to be integrated into any website.

What Does This Workflow Do?

The workflow uses a combination of nodes to create a complete chatbot:

Chat Trigger: Starts the process when a user sends a message. The configuration includes a customized visual design (minimalist European CSS), welcome messages, and titles.
AI Agent: Acts as the chatbot's brain. It coordinates interaction with the language model, memory, and tools to generate intelligent responses.
Conversational Memory: Allows the chatbot to remember the context of the conversation, providing a smoother and more coherent experience.
Language Model (GPT): Generates the chat responses.
Search Tool: Enables the AI agent to search for information on the web and answer questions it doesn't already know.
Respond to Chat: Sends the final response back to the user.

Use Cases

Customer Support: Answers frequently asked questions and transfers complex conversations to a human agent.
Virtual Assistant: Provides information about products or services, helps users navigate your website, or completes simple tasks.
Content Generator: Serves as an assistant for generating ideas, writing drafts, or summarizing texts.

Who Is This For?

This workflow is ideal for:

Businesses and developers looking for a versatile and customizable chatbot solution without having to build it from scratch.
Business owners who want to improve customer service and user interaction in an automated way.
Curious individuals and AI enthusiasts who want to explore how chatbots are built and experiment with their own configurations.

This workflow includes detailed documentation that explains how each node works and how to customize it for your needs.

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 - When chat message received

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

Block 2 - Respond to Chat

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

Block 3 - AI Agent

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

Block 4 - GPT

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

Block 5 - IA Memory

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

Block 6 - Search

Type / Role: n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices: Version 4.2

Block 7 - Simple Memory

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

Block 8 - Sticky Note

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

Block 9 - Sticky Note1

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

Block 10 - Sticky Note2

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

Block 11 - Sticky Note3

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

Block 12 - Sticky Note4

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

Block 13 - Sticky Note5

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

3. Summary Table

Workflow	Build a smart chatbot with GPT-5-nano, web search & conversational memory
Complexity	intermediate
Nodes	13
Categories	Support Chatbot, AI Chatbot
Author	Oriol Seguí
Published	03 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/8209/8209.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 Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Build a smart chatbot with GPT-5-nano, web search & conversational memory 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 Support Chatbot, AI Chatbot use case.

Oriol Seguí

14 workflows

Nodes

@n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.chat @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.httprequesttool n8n-nodes-base.stickynote

Complexity

intermediate

Published 03 Sept 2025

Likes 0

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Install path: /data/workflows/8209/8209.json

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Build a smart chatbot with GPT-5-nano, web search & conversational memory

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

What Does This Workflow Do?

Use Cases

Who Is This For?

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When chat message received

Block 2 - Respond to Chat

Block 3 - AI Agent

Block 4 - GPT

Block 5 - IA Memory

Block 6 - Search

Block 7 - Simple Memory

Block 8 - Sticky Note

Block 9 - Sticky Note1

Block 10 - Sticky Note2

Block 11 - Sticky Note3

Block 12 - Sticky Note4

Block 13 - Sticky Note5

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