Which integrations does "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2" use?

It uses: lmChatGoogleGemini, agent, splitOut, chainLlm, summarize, limit, vectorStoreQdrant, textSplitterRecursiveCharacterTextSplitter. The flow diagram above shows how each service connects across the 72 nodes. Filter OpenRuna by integration to find related workflows and tools.

Can I import a sanitized export without credentials?

Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own lmChatGoogleGemini and agent credentials in n8n after import.

← Workflows

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

72 nodes · lmChatGoogleGemini, agent, splitOut, chainLlm, summarize, limit

Engine: n8n
Nodes: 72
Trigger: scheduled/triggered
Source file: 0971_Limit_Splitout_Automation_Webhook.json

Workflow flow

IntegrationsLmChatGoogleGeminiAgentSplit OutChainLlmSummarizeLimitVectorStoreQdrantTextSplitterRecursiveCharacterTextSplitterEmbeddingsGoogleGeminiChatHTTPDocumentDefaultDataLoader+22 more

Integration path in execution order (sticky notes and duplicate steps omitted)

@n8n/n8n-nodes-langchain.lmChatGoogleGemini@n8n/n8n-nodes-langchain.agentSplit Out@n8n/n8n-nodes-langchain.chainLlmSummarizeLimit@n8n/n8n-nodes-langchain.vectorStoreQdrant@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter@n8n/n8n-nodes-langchain.embeddingsGoogleGemini@n8n/n8n-nodes-langchain.chatMergeSetHTTP@n8n/n8n-nodes-langchain.documentDefaultDataLoader@n8n/n8n-nodes-langchain.memoryBufferWindowN8n-nodes-youtube-transcription-dmr.youtubeTranscripter@n8n/n8n-nodes-langchain.outputParserStructured

RedisSwitchCodeIF@n8n/n8n-nodes-langchain.toolVectorStore

60 steps · use Full diagram for every node

Browse by integration

lmChatGoogleGemini agent splitOut chainLlm summarize limit vectorStoreQdrant textSplitterRecursiveCharacterTextSplitter embeddingsGoogleGemini chat httpRequest documentDefaultDataLoader memoryBufferWindow youtubeTranscripter outputParserStructured redis switch toolVectorStore

Browse all integrations →

Download n8n JSON Download sanitized JSON Download flow graph

Import into n8n

Download the n8n JSON file (full or sanitized).
In n8n: Workflows → Import from file.
Open each node and reconnect credentials to your accounts.
Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Free n8n workflow: ⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. 72 nodes across lmChatGoogleGemini, agent, splitOut, chainLlm, summarize, limit, vectorStoreQdrant, textSplitterRecursiveCharacterTextSplitter, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

This n8n workflow, "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2", wires together lmChatGoogleGemini, agent, splitOut, chainLlm, summarize, limit, vectorStoreQdrant, textSplitterRecursiveCharacterTextSplitter in 72 nodes. 72 nodes · lmChatGoogleGemini, agent, splitOut, chainLlm, summarize, limit It starts from a scheduled/triggered trigger and routes data through every node in order. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

Fork it to add error handling, retries, or a notification step without designing the 72-node flow from scratch.
Benchmark it against your current lmChatGoogleGemini integration to spot missing steps or redundant nodes.
Import "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2" into n8n, reconnect credentials for lmChatGoogleGemini, agent, splitOut, chainLlm, summarize, limit, vectorStoreQdrant, textSplitterRecursiveCharacterTextSplitter, and run the same automation in your own workspace.
Use it as a starting template when wiring lmChatGoogleGemini, agent, splitOut, chainLlm, summarize, limit, vectorStoreQdrant, textSplitterRecursiveCharacterTextSplitter — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2" exposes 72 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatGoogleGemini, agent, splitOut, chainLlm, summarize, limit, vectorStoreQdrant, textSplitterRecursiveCharacterTextSplitter. Reconnect the lmChatGoogleGemini credential first, then walk the remaining nodes top to bottom. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2" JSON into a plain-English runbook, node by node. It can flag where lmChatGoogleGemini rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for lmChatGoogleGemini, agent, splitOut, chainLlm, summarize, limit, vectorStoreQdrant, textSplitterRecursiveCharacterTextSplitter. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2" — extract lmChatGoogleGemini IDs and secrets into environment variables without changing the 72-node structure.

Frequently asked questions

How do I import "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2" into n8n?: Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2" use?: It uses: lmChatGoogleGemini, agent, splitOut, chainLlm, summarize, limit, vectorStoreQdrant, textSplitterRecursiveCharacterTextSplitter. The flow diagram above shows how each service connects across the 72 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?: Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own lmChatGoogleGemini and agent credentials in n8n after import.
What trigger type does "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2" use?: Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2" free to use?: OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for lmChatGoogleGemini, agent, splitOut, chainLlm, summarize, limit, vectorStoreQdrant, textSplitterRecursiveCharacterTextSplitter.