AI Agents

AI-powered YouTube playlist, video summarization and analysis

72 nodes 2 1 Automatic trigger
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Workflow Description

AI-powered YouTube playlist, video summarization and analysis

Service Value

Ready-made workflow template for automation delivery and service execution.

Apps Used

Gemini AI Agent LLM Chain Vector Store Text Splitter Chat Trigger Document Default Data Loader Memory YouTube Output Parser Redis

Details

Trigger Automatic trigger
Nodes 72
Apps 11
Views 2
Downloads 1

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 (72)

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Google Gemini Chat Model1

Gemini Model

#1

Handle Queries

Agent

#2

Split Out

Split Out

#3

Summarize & Analyze Transcript

LLM Chain

#4

Concatenate

Summarize

#5

Split Out1

Split Out

#6

Limit

Limit

#7

Qdrant Vector Store

Vector Store Qdrant

#8

Recursive Character Text Splitter

Text Splitter Recursive Character Text Splitter

#9

Embeddings Google Gemini

Gemini Model

#10

Google Gemini Chat Model2

Gemini Model

#11

Embeddings Google Gemini1

Gemini Model

#12

Chat

Chat Trigger

#13

Video Titles

Split Out

#14

Merge

Merge

#15

Edit Fields

Set

#16

AI Agent

Agent

#17

Google Gemini Chat Model4

Gemini Model

#18

Delete Collection

HTTP Request

#19

Default Data Loader

Document Default Data Loader

#20

Chat Buffer Memory

Memory Buffer Window

#21

Full Summary

Summarize

#22

Sticky Note2

Sticky Note

#23

Sticky Note3

Sticky Note

#24

Chat Buffer Memory1

Memory Buffer Window

#25

YouTube Transcript

Youtube Transcripter

#26

Sticky Note4

Sticky Note

#27

Sticky Note5

Sticky Note

#28

Sticky Note6

Sticky Note

#29

Message Intent

Agent

#30

Structured Output Parser1

Output Parser Structured

#31

Update Context Intent

Redis

#32

Get Previous Context Intent

Redis

#33

Route Message Intent

Switch

#34

Process Status

Code

#35

Simple Memory

Memory Buffer Window

#36

Simple Memory3

Memory Buffer Window

#37

Sticky Note7

Sticky Note

#38

Google Gemini Chat Model6

Gemini Model

#39

Sticky Note9

Sticky Note

#40

Sticky Note10

Sticky Note

#41

Numb of Videos

Agent

#42

Default Intent

Code

#43

Playlist Limit

If

#44

Playlist or Video

Switch

#45

Get Fields for Summary

Code

#46

Update Context Process Done1

Redis

#47

Google Gemini Chat Model8

Gemini Model

#48

Playlist HTTP Request

HTTP Request

#49

YouTube Transcript1

Youtube Transcripter

#50

Video HTTP Request

HTTP Request

#51

Get Title and Desc

Code

#52

Split Out2

Split Out

#53

Concatenate1

Summarize

#54

Sticky Note12

Sticky Note

#55

Get Videos

Code

#56

Get Playlist Videos Data

Code

#57

Embeddings Google Gemini2

Gemini Model

#58

Qdrant Vector Store3

Vector Store Qdrant

#59

Answer questions with a vector store

Tool Vector Store

#60

Qdrant Vector Store4

Vector Store Qdrant

#61

Answer questions with a vector store1

Tool Vector Store

#62

Google Gemini Chat Model

Gemini Model

#63

Google Gemini Chat Model3

Gemini Model

#64

Qdrant Vector Store2

Vector Store Qdrant

#65

Embeddings Google Gemini4

Gemini Model

#66

If

If

#67

Count Content

Summarize

#68

Sticky Note

Sticky Note

#69

Sticky Note1

Sticky Note

#70

Update Context Intent1

Redis

#71

Sticky Note8

Sticky Note

#72

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