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Business WhatsApp AI RAG Chatbot

24 nodes · respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest

Engine
n8n
Nodes
24
Trigger
scheduled/triggered
Source file
1385_Webhook_Respondtowebhook_Automate_Webhook.json

Workflow flow

IntegrationsRespondToWebhookAgentLmChatOpenAiManualVectorStoreQdrantHTTPGoogle DriveEmbeddingsOpenAiDocumentDefaultDataLoaderTextSplitterTokenSplitterWebhookWhatsApp+9 more
100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

TRIGGER

When clicking ‘Test workflow’

Manual

Embeddings OpenAI

@n8n/n8n-nodes-langchain.embeddingsOpenAi

Default Data Loader

@n8n/n8n-nodes-langchain.documentDefaultDataLoader

Token Splitter

@n8n/n8n-nodes-langchain.textSplitterTokenSplitter

TRIGGER

Verify

Webhook

TRIGGER

Respond

Webhook

Window Buffer Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

Respond to Webhook

RespondToWebhook

Create collection

HTTP

Refresh collection

HTTP

is Message?

IF

AI Agent

@n8n/n8n-nodes-langchain.agent

Get folder

Google Drive

Only message

WhatsApp

Download Files

Google Drive

Send

WhatsApp

Qdrant Vector Store

@n8n/n8n-nodes-langchain.vectorStoreQdrant

18 steps · flows top to bottom, branches left to right

Browse by integration

respondToWebhookagentlmChatOpenAimanualvectorStoreQdranthttpRequestgoogleDriveembeddingsOpenAidocumentDefaultDataLoadertextSplitterTokenSplitterwebhookwhatsAppmemoryBufferWindow
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. 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: Business WhatsApp AI RAG Chatbot. 24 nodes across respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

"Business WhatsApp AI RAG Chatbot" automates a respondToWebhook-to-agent flow in n8n across 24 nodes. 24 nodes · respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. 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 respondToWebhook stack.
  • Study how data moves from respondToWebhook to agent before building your own variant.
  • Use it as a starting template when wiring respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi — adjust node parameters to your accounts and record IDs.
  • Import "Business WhatsApp AI RAG Chatbot" into n8n, reconnect credentials for respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi, and run the same automation in your own workspace.

Example output

Imported into n8n, "Business WhatsApp AI RAG Chatbot" exposes 24 configured nodes. Trigger type: scheduled/triggered. Integrations: respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi. Reconnect the respondToWebhook 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 "Business WhatsApp AI RAG Chatbot" into Claude and ask it to explain each of the 24 nodes. Claude is good at suggesting credential mappings for respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Business WhatsApp AI RAG Chatbot" to your accounts — which respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi 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 24 nodes.

Frequently asked questions

How do I import "Business WhatsApp AI RAG Chatbot" 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 "Business WhatsApp AI RAG Chatbot" use?
It uses: respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi. The flow diagram above shows how each service connects across the 24 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 respondToWebhook and agent credentials in n8n after import.
What trigger type does "Business WhatsApp AI RAG Chatbot" 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 "Business WhatsApp AI RAG Chatbot" 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 respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi.

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