AI Agents

Extract data from content using AI-driven dynamic prompts

45 nodes 312 145 Webhook
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Workflow Description

Automation receives data via webhook and processes it in batches using OpenAI models with dynamic prompts for intelligent extraction, filtering, and conditional processing. Scales efficiently through advanced LLM chains for sophisticated data mining workflows.

How it works

  1. 1.Receive data through webhook and validate input format
  2. 2.Split incoming data into manageable batches for parallel processing
  3. 3.Apply dynamic OpenAI prompts for intelligent information extraction
  4. 4.Filter results and apply conditional business logic rules
  5. 5.Deliver extracted insights to destination systems

Use cases

  • Extract key insights from large volumes of unstructured text documents
  • Automatically analyze and categorize content using AI models
  • Process bulk data requests efficiently through batch optimization

Requirements

  • Valid OpenAI API key with appropriate permissions
  • Compatible OpenAI model selection and configuration
  • Well-defined webhook payload structure
  • Backend infrastructure supporting asynchronous processing

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 312
Downloads 145

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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