(5/5)

⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2

Automated workflow: ⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. This workflow integrates 24 different services: stickyNote, vectorStoreQdrant, textSplitterRecursiveCharacterTextSplitter, merge, switch. It contains 89 nodes and follows best practices for error handling and security.

Integrations Used (3)

HTTP Request

N8n Nodes Youtube Transcription Dmr.youtubetranscripter

Redis

Workflow Structure (61 nodes)

100%

No Op

Chat

Redis

Get Previous Context Intent

No Op

Message Intent

Code

Default Intent

Switch

Route Message Intent

Code

Process Status

Redis

Update Context Intent

No Op

Embeddings Google Gemini4

No Op

Qdrant Vector Store2

Summarize

Count Content

Redis

Update Context Intent1

If Node

Playlist Limit

Switch

Playlist or Video

No Op

Google Gemini Chat Model8

No Op

Numb of Videos

Http Request

Video HTTP Request

No Op

Simple Memory3

Youtube-transcription-dmr.youtube Transcripter

YouTube Transcript1

Code

Get Title and Desc

Split Out

Split Out2

Summarize

Concatenate1

No Op

Google Gemini Chat Model6

No Op

Simple Memory

No Op

Structured Output Parser1

No Op

Google Gemini Chat Model1

No Op

Chat Buffer Memory

No Op

Handle Queries

No Op

Embeddings Google Gemini1

No Op

Qdrant Vector Store3

Manual Trigger

No Op

Answer questions with a vector store

No Op

Google Gemini Chat Model3

No Op

Google Gemini Chat Model2

No Op

Summarize & Analyze Transcript

Split Out

Split Out1

Http Request

Playlist HTTP Request

Limit

Code

Get Playlist Videos Data

Set

Edit Fields

Split Out

Video Titles

Youtube-transcription-dmr.youtube Transcripter

YouTube Transcript

Http Request

Delete Collection

Split Out

Code

Get Videos

No Op

Embeddings Google Gemini

No Op

Qdrant Vector Store

Summarize

Concatenate

Merge

No Op

Recursive Character Text Splitter

No Op

Default Data Loader

Redis

Update Context Process Done1

Code

Get Fields for Summary

No Op

Google Gemini Chat Model4

Summarize

Full Summary

No Op

Embeddings Google Gemini2

No Op

Chat Buffer Memory1

No Op

Qdrant Vector Store4

No Op

AI Agent

No Op

Answer questions with a vector store1

No Op

Google Gemini Chat Model

Node Types:

trigger

default

logic

transform

http

action

code

Requires credentials

Prerequisites

Required Credentials (3)

Google Palm

Used by: Google Gemini Chat Model1, Embeddings Google Gemini +9 more

Docs

Qdrant

Used by: Qdrant Vector Store, Delete Collection +3 more

Docs

Redis

Used by: Update Context Intent, Get Previous Context Intent +2 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: 80/100

Custom Code

Conditional Logic

6 Integrations

When to Use This Workflow

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.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "4Tq5HZBdETVe7jEb",
  "meta": {
    "instanceId": "workflow-4b03b82a",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:47.576435",
    "updatedAt": "2025-09-29T07:07:47.576451",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...