AI Agents

Automated workflow

45 nodes 224 121 Webhook
Download

Workflow Description

An intelligent workflow triggered by webhook that processes large datasets in batches using OpenAI-powered language chains, with conditional routing, filtering, and file extraction capabilities for sophisticated data handling.

How it works

  1. 1.Receive incoming request via webhook and identify data type
  2. 2.Split data into manageable batches using Split In Batches node
  3. 3.Route each batch through an LLM chain powered by OpenAI
  4. 4.Apply conditional logic and filters to determine processing paths
  5. 5.Extract information from attached files when necessary
  6. 6.Deliver final results or store for review

Use cases

  • Automatically categorize and prioritize high volumes of customer inquiries using AI
  • Extract and analyze data from hundreds of documents in a single workflow run
  • Route emails to departments based on content analysis by language models
  • Process thousands of form submissions and update databases in real time

Requirements

  • Valid OpenAI API key with active account and sufficient quota
  • Properly configured webhook endpoint with error handling and timeout management
  • Clear understanding of input data structure and expected output format

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

Split In Batches LLM Chain OpenAI

Details

Trigger Webhook
Nodes 45
Apps 3
Views 224
Downloads 121

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (45)

/

Baserow Event

Webhook

#1

Event Type

Switch

#2

Table Fields API

HTTP Request

#3

Get Prompt Fields

Code

#4

Get Event Body

Set

#5

List Table API

HTTP Request

#6

Get Valid Rows

Code

#7

Get File Data

HTTP Request

#8

Extract from File

Extract From File

#9

Update Row

HTTP Request

#10

Get Result

Set

#11

Loop Over Items

Split In Batches

#12

Row Reference

No Op

#13

Generate Field Value

LLM Chain

#14

Get Row

HTTP Request

#15

Rows to List

Split Out

#16

Fields to Update

Code

#17

Loop Over Items1

Split In Batches

#18

Row Ref

No Op

#19

Get File Data1

HTTP Request

#20

Extract from File1

Extract From File

#21

Update Row1

HTTP Request

#22

Get Result1

Set

#23

Generate Field Value1

LLM Chain

#24

Filter Valid Rows

Filter

#25

Filter Valid Fields

Filter

#26

Event Ref

No Op

#27

Event Ref1

No Op

#28

Sticky Note

Sticky Note

#29

Sticky Note1

Sticky Note

#30

Sticky Note2

Sticky Note

#31

Sticky Note3

Sticky Note

#32

Sticky Note4

Sticky Note

#33

Sticky Note5

Sticky Note

#34

Sticky Note7

Sticky Note

#35

Sticky Note8

Sticky Note

#36

Sticky Note9

Sticky Note

#37

Sticky Note10

Sticky Note

#38

Sticky Note11

Sticky Note

#39

OpenAI Chat Model

OpenAI

#40

Sticky Note12

Sticky Note

#41

OpenAI Chat Model1

OpenAI

#42

Sticky Note13

Sticky Note

#43

Sticky Note6

Sticky Note

#44

Sticky Note14

Sticky Note

#45

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