OpenRuna
Sign in
← Workflows

AI Phone Agent with RetellAI

36 nodes · filter, lmChatOpenAi, outputParserStructured, webhook, vectorStoreQdrant, embeddingsOpenAi

Engine
n8n
Nodes
36
Trigger
scheduled/triggered
Source file
0735_Telegram_GoogleCalendar_Automation_Webhook.json

Workflow flow

IntegrationsFilterLmChatOpenAiOutputParserStructuredWebhookVectorStoreQdrantEmbeddingsOpenAiToolVectorStoreRespondToWebhookTelegramGoogleCalendarManualHTTP+15 more
100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

TRIGGER

n8n_rag_function

Webhook

Retrive Qdrant Vector Store

@n8n/n8n-nodes-langchain.vectorStoreQdrant

Embeddings OpenAI2

@n8n/n8n-nodes-langchain.embeddingsOpenAi

RAG

@n8n/n8n-nodes-langchain.toolVectorStore

OpenAI Chat Model2

@n8n/n8n-nodes-langchain.lmChatOpenAi

OpenAI Chat Model1

@n8n/n8n-nodes-langchain.lmChatOpenAi

OpenAI Chat Model3

@n8n/n8n-nodes-langchain.lmChatOpenAi

Structured Output Parser1

@n8n/n8n-nodes-langchain.outputParserStructured

TRIGGER

n8n_call

Webhook

TRIGGER

n8n_check_available

Webhook

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

Filter

Filter

Create collection

HTTP

Refresh collection

HTTP

Concert start date

@n8n/n8n-nodes-langchain.chainLlm

Retrive Agent

@n8n/n8n-nodes-langchain.agent

Respond to Webhook

RespondToWebhook

Google Calendar

GoogleCalendar

Get folder

Google Drive

Set call fields

Set

Download Files

Google Drive

Extract key points

@n8n/n8n-nodes-langchain.chainLlm

Telegram

Telegram

Qdrant Vector Store

@n8n/n8n-nodes-langchain.vectorStoreQdrant

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

Browse by integration

Browse all integrations →

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: AI Phone Agent with RetellAI. 36 nodes across filter, lmChatOpenAi, outputParserStructured, webhook, vectorStoreQdrant, embeddingsOpenAi, toolVectorStore, respondToWebhook, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

"AI Phone Agent with RetellAI" automates a filter-to-lmChatOpenAi flow in n8n across 36 nodes. 36 nodes · filter, lmChatOpenAi, outputParserStructured, webhook, vectorStoreQdrant, embeddingsOpenAi 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

  • Share it with your team as a documented reference for scheduled/triggered automations in the filter stack.
  • Study how data moves from filter to lmChatOpenAi before building your own variant.
  • Use it as a starting template when wiring filter, lmChatOpenAi, outputParserStructured, webhook, vectorStoreQdrant, embeddingsOpenAi, toolVectorStore, respondToWebhook — adjust node parameters to your accounts and record IDs.
  • Import "AI Phone Agent with RetellAI" into n8n, reconnect credentials for filter, lmChatOpenAi, outputParserStructured, webhook, vectorStoreQdrant, embeddingsOpenAi, toolVectorStore, respondToWebhook, and run the same automation in your own workspace.

Example output

Imported into n8n, "AI Phone Agent with RetellAI" exposes 36 configured nodes. Trigger type: scheduled/triggered. Integrations: filter, lmChatOpenAi, outputParserStructured, webhook, vectorStoreQdrant, embeddingsOpenAi, toolVectorStore, respondToWebhook. Reconnect the filter 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 "AI Phone Agent with RetellAI" into Claude and ask it to explain each of the 36 nodes. Claude is good at suggesting credential mappings for filter, lmChatOpenAi, outputParserStructured, webhook, vectorStoreQdrant, embeddingsOpenAi, toolVectorStore, respondToWebhook, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "AI Phone Agent with RetellAI" to your accounts — which filter, lmChatOpenAi, outputParserStructured, webhook, vectorStoreQdrant, embeddingsOpenAi, toolVectorStore, respondToWebhook 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 36 nodes.

Frequently asked questions

How do I import "AI Phone Agent with RetellAI" 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 "AI Phone Agent with RetellAI" use?
It uses: filter, lmChatOpenAi, outputParserStructured, webhook, vectorStoreQdrant, embeddingsOpenAi, toolVectorStore, respondToWebhook. The flow diagram above shows how each service connects across the 36 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 filter and lmChatOpenAi credentials in n8n after import.
What trigger type does "AI Phone Agent with RetellAI" 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 "AI Phone Agent with RetellAI" 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 filter, lmChatOpenAi, outputParserStructured, webhook, vectorStoreQdrant, embeddingsOpenAi, toolVectorStore, respondToWebhook.

Related resources