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
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
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
n8n_call
Webhook
n8n_check_available
Webhook
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
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
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.
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