0322_Splitout_Code_Send_Triggered
18 nodes · manual, documentDefaultDataLoader, lmChatOpenAi, agent, toolWikipedia, chainSummarization
- Engine
- n8n
- Nodes
- 18
- Trigger
- scheduled/triggered
- Source file
- 0322_Splitout_Code_Send_Triggered.json
Workflow flow
When clicking "Execute Workflow"
Manual
Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Wikipedia
@n8n/n8n-nodes-langchain.toolWikipedia
Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter
OpenAI Chat Model3
@n8n/n8n-nodes-langchain.lmChatOpenAi
OpenAI Chat Model1
@n8n/n8n-nodes-langchain.lmChatOpenAi
Podcast Episode Transcript
Code
Summarize Transcript
@n8n/n8n-nodes-langchain.chainSummarization
Extract Topics & Questions
@n8n/n8n-nodes-langchain.informationExtractor
Topics
Split Out
AI Agent
@n8n/n8n-nodes-langchain.agent
Format topic text & title
Code
Send Digest
Gmail
14 steps · flows top to bottom, branches left to right
Browse by integration
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.
Overview
0322_Splitout_Code_Send_Triggered is a free n8n workflow on OpenRuna — 18 nodes connecting manual, documentDefaultDataLoader, lmChatOpenAi, agent, toolWikipedia, chainSummarization, textSplitterRecursiveCharacterTextSplitter, informationExtractor. Download the JSON, view the flow diagram, and import it into your n8n instance.
What this workflow does
"0322_Splitout_Code_Send_Triggered" automates a manual-to-documentDefaultDataLoader flow in n8n across 18 nodes. 18 nodes · manual, documentDefaultDataLoader, lmChatOpenAi, agent, toolWikipedia, chainSummarization Execution begins at the scheduled/triggered trigger and flows through the 18 configured nodes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.
Use cases
- Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.
- Study how data moves from manual to documentDefaultDataLoader before building your own variant.
- Use it as a starting template when wiring manual, documentDefaultDataLoader, lmChatOpenAi, agent, toolWikipedia, chainSummarization, textSplitterRecursiveCharacterTextSplitter, informationExtractor — adjust node parameters to your accounts and record IDs.
- Import "0322_Splitout_Code_Send_Triggered" into n8n, reconnect credentials for manual, documentDefaultDataLoader, lmChatOpenAi, agent, toolWikipedia, chainSummarization, textSplitterRecursiveCharacterTextSplitter, informationExtractor, and run the same automation in your own workspace.
Example output
Imported into n8n, "0322_Splitout_Code_Send_Triggered" exposes 18 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, documentDefaultDataLoader, lmChatOpenAi, agent, toolWikipedia, chainSummarization, textSplitterRecursiveCharacterTextSplitter, informationExtractor. Reconnect the manual 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
Paste the exported JSON for "0322_Splitout_Code_Send_Triggered" into Claude and ask it to explain each of the 18 nodes. Claude is good at suggesting credential mappings for manual, documentDefaultDataLoader, lmChatOpenAi, agent, toolWikipedia, chainSummarization, textSplitterRecursiveCharacterTextSplitter, informationExtractor, plus error-handling and idempotency improvements before you run it in production.
ChatGPT
Have ChatGPT generate a checklist for adapting "0322_Splitout_Code_Send_Triggered" to your accounts — which manual, documentDefaultDataLoader, lmChatOpenAi, agent, toolWikipedia, chainSummarization, textSplitterRecursiveCharacterTextSplitter, informationExtractor credentials to create and which node parameters to change first.
Cursor
Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 18 nodes.
Frequently asked questions
- How do I import "0322_Splitout_Code_Send_Triggered" 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 "0322_Splitout_Code_Send_Triggered" use?
- It uses: manual, documentDefaultDataLoader, lmChatOpenAi, agent, toolWikipedia, chainSummarization, textSplitterRecursiveCharacterTextSplitter, informationExtractor. The flow diagram above shows how each service connects across the 18 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 manual and documentDefaultDataLoader credentials in n8n after import.
- What trigger type does "0322_Splitout_Code_Send_Triggered" 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 "0322_Splitout_Code_Send_Triggered" 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 manual, documentDefaultDataLoader, lmChatOpenAi, agent, toolWikipedia, chainSummarization, textSplitterRecursiveCharacterTextSplitter, informationExtractor.
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