(5/5)

AI Agent to chat with Airtable and analyze data

Replace Mapbox public key - <yourpublickey> in code

Workflow Structure (30 nodes)
100%
Langchain.lm Chat Open Ai
OpenAI Chat Model
Langchain.chat Trigger
When chat message received
Langchain.memory Buffer Window
Window Buffer Memory
Langchain.agent
AI Agent
Langchain.tool Workflow
Get list of bases
Langchain.tool Workflow
Get base schema
Langchain.tool Workflow
Search records
Langchain.tool Workflow
Process data with code
Langchain.tool Code
Create map image
Execute Workflow Trigger
Execute Workflow Trigger
Switch
Switch
If
If filter description exists
Http Request
OpenAI - Create thread
Set
Set schema and prompt
Http Request
OpenAI - Send message
Airtable
Get Bases
Airtable
Get Base/Tables schema
Http Request
OpenAI - Generate search filter
Http Request
OpenAI - Run assistant
Aggregate
Aggregate
Aggregate
Aggregate1
Merge
Merge
Http Request
OpenAI - Get messages
Http Request
Airtable - Search records
If
If1
Aggregate
Aggregate2
Http Request
OpenAI - Download File
Http Request
Upload file to get link
Set
Response
Set
Response1
Node Types:
default
trigger
transform
logic
code
action
http
Requires credentials

Prerequisites

Required Credentials (3)

Airtable Token

Used by: Get Bases, Get Base/Tables schema +1 more

Docs

Http Query Auth

Used by: Airtable - Search records

Docs

OpenAI

Used by: OpenAI Chat Model, OpenAI - Generate search filter +5 more

Docs

Multiple services required

This workflow needs 3 different credentials. Make sure you have accounts for all services before importing.

Complexity

Advanced

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

Setup time: ~50 min
Score: 78/100
Custom Code
Conditional Logic
4 Integrations

When to Use This Workflow

Automated Reporting

Automatically collect and organize data into spreadsheets for analysis.

Spend less time on data entry and more time on insights.

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
{
  "nodes": [
    {
      "id": "799d2e0c-29b9-494c-b11a-d79c7ed4a06d",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        920,
        480
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "zJhr5piyEwVnWtaI",
          "name": "OpenAi club"
        }
      },
      "typeVersion": 1
...

Workflow Details

Nodes
41
Trigger
Event
Source
awesome
Added
Dec 4, 2025

Need Help?

Check out the official n8n documentation for detailed guides.

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