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Business WhatsApp AI RAG Chatbot

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

Engine
n8n
Nodes
28
Trigger
scheduled/triggered
Source file
1561_Webhook_Respondtowebhook_Automate_Webhook.json

Workflow flow

IntegrationsRespondToWebhookAgentLmChatOpenAiManualVectorStoreQdrantHTTPGoogle DriveEmbeddingsOpenAiDocumentDefaultDataLoaderTextSplitterTokenSplitterWebhookWhatsApp+11 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

OpenAI Chat Model1

@n8n/n8n-nodes-langchain.lmChatOpenAi

Retrive Qdrant Vector Store

@n8n/n8n-nodes-langchain.vectorStoreQdrant

Embeddings OpenAI2

@n8n/n8n-nodes-langchain.embeddingsOpenAi

RAG

@n8n/n8n-nodes-langchain.toolVectorStore

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

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

Browse by integration

respondToWebhookagentlmChatOpenAimanualvectorStoreQdranthttpRequestgoogleDriveembeddingsOpenAidocumentDefaultDataLoadertextSplitterTokenSplitterwebhookwhatsAppmemoryBufferWindowtoolVectorStore
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

Business WhatsApp AI RAG Chatbot (28-node n8n automation, respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

This n8n workflow, "Business WhatsApp AI RAG Chatbot", wires together respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi in 28 nodes. 28 nodes · respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest Execution begins at the scheduled/triggered trigger and flows through the 28 configured nodes. 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

  • Share it with your team as a documented reference for scheduled/triggered automations in the respondToWebhook stack.
  • Fork it to add error handling, retries, or a notification step without designing the 28-node flow from scratch.
  • Benchmark it against your current respondToWebhook integration to spot missing steps or redundant nodes.
  • 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 28 configured nodes. Trigger type: scheduled/triggered. Integrations: respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi. Open each node after import to map credentials to your own respondToWebhook and agent accounts. 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 "Business WhatsApp AI RAG Chatbot" JSON into a plain-English runbook, node by node. It can flag where respondToWebhook 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 respondToWebhook, agent, lmChatOpenAi, manual, vectorStoreQdrant, httpRequest, googleDrive, embeddingsOpenAi. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Business WhatsApp AI RAG Chatbot" — extract respondToWebhook IDs and secrets into environment variables without changing the 28-node structure.

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 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 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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