1364_Extractfromfile_Manual_Create_Webhook
28 nodes · whatsApp, lmChatOpenAi, memoryBufferWindow, toolVectorStore, embeddingsOpenAi, manual
- Engine
- n8n
- Nodes
- 28
- Trigger
- scheduled/triggered
- Source file
- 1364_Extractfromfile_Manual_Create_Webhook.json
Workflow flow
WhatsAppLmChatOpenAiMemoryBufferWindowToolVectorStoreEmbeddingsOpenAiManualDocumentDefaultDataLoaderTextSplitterRecursiveCharacterTextSplitterExtractFromFileHTTPVectorStoreInMemorySwitch+9 moreWhatsApp Trigger
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Window Buffer Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow
Vector Store Tool
@n8n/n8n-nodes-langchain.toolVectorStore
Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi
OpenAI Chat Model1
@n8n/n8n-nodes-langchain.lmChatOpenAi
When clicking ‘Test workflow’
Manual
Embeddings OpenAI1
@n8n/n8n-nodes-langchain.embeddingsOpenAi
Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader
Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter
Product Catalogue
@n8n/n8n-nodes-langchain.vectorStoreInMemory
get Product Brochure
HTTP
Handle Message Types
Switch
Extract from File
ExtractFromFile
Reply To User1
AI Sales Agent
@n8n/n8n-nodes-langchain.agent
Reply To User
Create Product Catalogue
@n8n/n8n-nodes-langchain.vectorStoreInMemory
18 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
1364_Extractfromfile_Manual_Create_Webhook is a free n8n workflow on OpenRuna — 28 nodes connecting whatsApp, lmChatOpenAi, memoryBufferWindow, toolVectorStore, embeddingsOpenAi, manual, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Download the JSON, view the flow diagram, and import it into your n8n instance.
What this workflow does
Built in n8n, "1364_Extractfromfile_Manual_Create_Webhook" chains 28 nodes to move data between whatsApp, lmChatOpenAi, memoryBufferWindow, toolVectorStore, embeddingsOpenAi, manual, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. 28 nodes · whatsApp, lmChatOpenAi, memoryBufferWindow, toolVectorStore, embeddingsOpenAi, manual A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. 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 28-node flow from scratch.
- Benchmark it against your current whatsApp integration to spot missing steps or redundant nodes.
- Study how data moves from whatsApp to lmChatOpenAi before building your own variant.
- Share it with your team as a documented reference for scheduled/triggered automations in the whatsApp stack.
Example output
Imported into n8n, "1364_Extractfromfile_Manual_Create_Webhook" exposes 28 configured nodes. Trigger type: scheduled/triggered. Integrations: whatsApp, lmChatOpenAi, memoryBufferWindow, toolVectorStore, embeddingsOpenAi, manual, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Set your credentials on the whatsApp node, then verify each downstream node picks them up. 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 "1364_Extractfromfile_Manual_Create_Webhook" JSON into a plain-English runbook, node by node. It can flag where whatsApp 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 whatsApp, lmChatOpenAi, memoryBufferWindow, toolVectorStore, embeddingsOpenAi, manual, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Handy for onboarding teammates new to n8n.
Cursor
In Cursor, ask Agent mode to parameterise "1364_Extractfromfile_Manual_Create_Webhook" — extract whatsApp IDs and secrets into environment variables without changing the 28-node structure.
Frequently asked questions
- How do I import "1364_Extractfromfile_Manual_Create_Webhook" 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 "1364_Extractfromfile_Manual_Create_Webhook" use?
- It uses: whatsApp, lmChatOpenAi, memoryBufferWindow, toolVectorStore, embeddingsOpenAi, manual, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. The flow diagram above shows how each service connects across the 28 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 whatsApp and lmChatOpenAi credentials in n8n after import.
- What trigger type does "1364_Extractfromfile_Manual_Create_Webhook" 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 "1364_Extractfromfile_Manual_Create_Webhook" 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 whatsApp, lmChatOpenAi, memoryBufferWindow, toolVectorStore, embeddingsOpenAi, manual, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter.
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