Curated

(5/5)

Create a Branded AI-Powered Website Chatbot

Ensure these referance this workflow, replace placeholders

Integrations Used (9)

Workflow Structure (17 nodes)

100%

Langchain.chat Trigger

Chat Trigger

Respond To Webhook

Respond With Initial Message

Langchain.agent

AI Agent

Respond To Webhook

Respond to Webhook

Execute Workflow Trigger

Switch

Http Request

Get Events

Microsoft Outlook

Send Message1

Code

freeTimeSlots

Set

varMessageResponse

Set

varResponse

Langchain.lm Chat Open Ai

OpenAI Chat Model

Langchain.memory Buffer Window

Window Buffer Memory

Langchain.tool Workflow

Send Message

Langchain.tool Workflow

Get Availability

Langchain.tool Http Request

Make Appointment

Node Types:

default

trigger

http

transform

code

logic

Requires credentials

Prerequisites

Required Credentials (2)

Microsoft Outlook

Used by: Make Appointment, Get Events +1 more

Docs

OpenAI

Used by: OpenAI Chat Model

Docs

Complexity

Advanced

Expert level. Custom code, complex logic, many integrations.

Setup time: ~45 min

Score: 73/100

Custom Code

Conditional Logic

4 Integrations

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "meta": {
    "instanceId": "67d4d33d8b0ad4e5e12f051d8ad92fc35893d7f48d7f801bc6da4f39967b3592",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "22c8d63b-ce3c-4aab-b3f6-4bae8c1b9ec5",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        1460,
        880
      ],
      "parameters": {
        "sessionKey": "={{ $json.sessionId }}",
        "sessionIdType": "customKey",
        "contextWindowLength": 20
      },
      "typeVersion": 1.2
...