AI Agents

Extract and process Airtable data with AI intelligence

50 nodes 301 148 Automatic trigger
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Workflow Description

Advanced automation that receives queries through a chat interface, searches Airtable tables using AI, analyzes documents, and publishes results to Twitter/X automatically with intelligent data filtering.

How it works

  1. 1.Receive query through chat trigger interface
  2. 2.Process, sort, and split data with text segmentation
  3. 3.Intelligent search in Airtable using AI agent
  4. 4.Analyze documents using OpenAI models
  5. 5.Share results on social media platforms

Use cases

  • Analyze Airtable records and answer questions automatically
  • Extract specific information and publish to social media
  • Generate smart reports from table data automatically

Requirements

  • Active Airtable account with configured database
  • OpenAI API keys for model access
  • Twitter/X account for automated posting

Service Value

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

Apps Used

Sort Document Default Data Loader Text Splitter OpenAI Airtable Twitter/X Vector Store LLM Chain AI Agent Memory Chat Trigger

Details

Trigger Automatic trigger
Nodes 50
Apps 11
Views 301
Downloads 148

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 (50)

/

When clicking ‘Test workflow’

Manual Trigger

#1

Sort Pages

Sort

#2

Split PDF into Images

HTTP Request

#3

Extract Zip File

Compression

#4

Images To List

Code

#5

Sticky Note2

Sticky Note

#6

Sticky Note5

Sticky Note

#7

Resize Images For AI

Edit Image

#8

Sticky Note3

Sticky Note

#9

Sticky Note4

Sticky Note

#10

Combine All Pages

Aggregate

#11

Default Data Loader

Document Default Data Loader

#12

Recursive Character Text Splitter

Text Splitter Recursive Character Text Splitter

#13

OpenAI Chat Model

OpenAI

#14

OpenAI Chat Model2

OpenAI

#15

Embeddings OpenAI

OpenAI

#16

Delete Existing Vectors

HTTP Request

#17

Continue With Pages Only

Merge

#18

Update Pitchdecks Table

Airtable

#19

Search Pending Rows

Airtable

#20

Get Row

Set

#21

Prequisites Met

If

#22

Execute Workflow

Execute Workflow

#23

No Operation, do nothing

No Op

#24

Execute Workflow Trigger

Execute Workflow Trigger

#25

Extract from File

Extract From File

#26

Convert to File

Convert To File

#27

Sticky Note

Sticky Note

#28

OpenAI Chat Model1

OpenAI

#29

Vector Store Tool

Tool Vector Store

#30

OpenAI Chat Model3

OpenAI

#31

Embeddings OpenAI1

OpenAI

#32

OpenAI Chat Model4

OpenAI

#33

Generate Report

Information Extractor

#34

Sticky Note1

Sticky Note

#35

Sticky Note6

Sticky Note

#36

Download Deck From Airtable

HTTP Request

#37

Sticky Note7

Sticky Note

#38

Airtable Trigger For Pending Rows

Airtable Trigger

#39

Transcribe to Markdown

LLM Chain

#40

Identify Companies In Question

Information Extractor

#41

Qdrant Vector Store

Vector Store Qdrant

#42

Ask Questions About Pitchdecks

Agent

#43

Window Buffer Memory

Memory Buffer Window

#44

Sticky Note8

Sticky Note

#45

Check Pitch Deck Exists

Airtable Tool

#46

When chat message received

Chat Trigger

#47

Sticky Note9

Sticky Note

#48

Pitchdecks Vector Store

Vector Store Qdrant

#49

Sticky Note10

Sticky Note

#50

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