How do I import "Voice RAG Chatbot with ElevenLabs and OpenAI" 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 "Voice RAG Chatbot with ElevenLabs and OpenAI" use?

It uses: agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest, googleDrive, documentDefaultDataLoader. The flow diagram above shows how each service connects across the 23 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 agent and toolVectorStore credentials in n8n after import.

What trigger type does "Voice RAG Chatbot with ElevenLabs and OpenAI" 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 "Voice RAG Chatbot with ElevenLabs and OpenAI" 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 agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest, googleDrive, documentDefaultDataLoader.

← Workflows

Voice RAG Chatbot with ElevenLabs and OpenAI

23 nodes · agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest

Engine: n8n
Nodes: 23
Trigger: scheduled/triggered
Source file: 1263_Webhook_Respondtowebhook_Automate_Webhook.json

Workflow flow

IntegrationsAgentToolVectorStoreVectorStoreQdrantEmbeddingsOpenAiManualHTTP

Google DriveDocumentDefaultDataLoaderTextSplitterTokenSplitterRespondToWebhookLmChatOpenAiWebhook+9 more

100%

Vector Store Tool

@n8n/n8n-nodes-langchain.toolVectorStore

Qdrant Vector Store

@n8n/n8n-nodes-langchain.vectorStoreQdrant

Embeddings OpenAI

@n8n/n8n-nodes-langchain.embeddingsOpenAi

TRIGGER

When clicking ‘Test workflow’

Manual

Default Data Loader

@n8n/n8n-nodes-langchain.documentDefaultDataLoader

Token Splitter

@n8n/n8n-nodes-langchain.textSplitterTokenSplitter

Embeddings OpenAI1

@n8n/n8n-nodes-langchain.embeddingsOpenAi

OpenAI

@n8n/n8n-nodes-langchain.lmChatOpenAi

TRIGGER

Listen

Webhook

Window Buffer Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

AI Agent

@n8n/n8n-nodes-langchain.agent

Create collection

HTTP

Refresh collection

HTTP

Get folder

Google Drive

Respond to ElevenLabs

RespondToWebhook

Download Files

Google Drive

Qdrant Vector Store1

@n8n/n8n-nodes-langchain.vectorStoreQdrant

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

Browse by integration

agent toolVectorStore vectorStoreQdrant embeddingsOpenAi manual httpRequest googleDrive documentDefaultDataLoader textSplitterTokenSplitter respondToWebhook lmChatOpenAi webhook memoryBufferWindow

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

Voice RAG Chatbot with ElevenLabs and OpenAI (23-node n8n automation, agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest, googleDrive, documentDefaultDataLoader) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"Voice RAG Chatbot with ElevenLabs and OpenAI" automates a agent-to-toolVectorStore flow in n8n across 23 nodes. 23 nodes · agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest 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

Share it with your team as a documented reference for scheduled/triggered automations in the agent stack.
Study how data moves from agent to toolVectorStore before building your own variant.
Use it as a starting template when wiring agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest, googleDrive, documentDefaultDataLoader — adjust node parameters to your accounts and record IDs.
Import "Voice RAG Chatbot with ElevenLabs and OpenAI" into n8n, reconnect credentials for agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest, googleDrive, documentDefaultDataLoader, and run the same automation in your own workspace.

Example output

Imported into n8n, "Voice RAG Chatbot with ElevenLabs and OpenAI" exposes 23 configured nodes. Trigger type: scheduled/triggered. Integrations: agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest, googleDrive, documentDefaultDataLoader. Open each node after import to map credentials to your own agent and toolVectorStore accounts. 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 "Voice RAG Chatbot with ElevenLabs and OpenAI" into Claude and ask it to explain each of the 23 nodes. Claude is good at suggesting credential mappings for agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest, googleDrive, documentDefaultDataLoader, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Voice RAG Chatbot with ElevenLabs and OpenAI" to your accounts — which agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest, googleDrive, documentDefaultDataLoader 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 23 nodes.

Frequently asked questions

How do I import "Voice RAG Chatbot with ElevenLabs and OpenAI" 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 "Voice RAG Chatbot with ElevenLabs and OpenAI" use?: It uses: agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest, googleDrive, documentDefaultDataLoader. The flow diagram above shows how each service connects across the 23 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 agent and toolVectorStore credentials in n8n after import.
What trigger type does "Voice RAG Chatbot with ElevenLabs and OpenAI" 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 "Voice RAG Chatbot with ElevenLabs and OpenAI" 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 agent, toolVectorStore, vectorStoreQdrant, embeddingsOpenAi, manual, httpRequest, googleDrive, documentDefaultDataLoader.