# Notify users when features ship with Semantic Search: n8n workflow

> Started by an event in a connected app, and works across Gmail, RSS and Supabase vectors. It puts OpenAI behind a retrieval step, so answers are drawn from...

Source: https://millionrounds.com/workflow/notify-users-when-features-ship-with-semantic-search (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Alerts and monitoring](https://millionrounds.com/workflows?category=Alerts+and+monitoring#library)

# Notify users when features ship with Semantic Search

Started by an event in a connected app, and works across Gmail, RSS and Supabase vectors. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 17 steps, 1 loop or waits: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fnotify-users-when-features-ship-with-semantic-search)

**17 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**1** Loop or waits

**3** Services it connects to

## The flow

Starts it 3 Model 6 Logic 5 Service 3

The steps in the order they run, from what starts it.

- 1 **Tally Trigger** Tally trigger *Starts it*
- 2 **Embeddings OpenAI** Embeddings Open Ai *Model*
- 3 **Default Data Loader** Document Default Data Loader *Model*
- 4 **When clicking ‘Execute workflow’** Manual trigger *Starts it*
- 5 **RSS Feed Trigger** Rss Feed Read trigger *Starts it*
- 6 **Structured Output Parser** Output Parser Structured *Model*
- 7 **OpenAI Chat Model3** Lm Chat Open Ai *Model*
- 8 **Data Cleaner** Set *Logic*
- 9 **Supabase Vector Store** Vector Store Supabase *Model*
- 10 **Lunch description** Set *Logic*
- 11 **Manage input - Code in JavaScript** Code *Logic*
- 12 **AI Agent - Draft text maker** Agent *Model*
- 13 **Generate Embedding (Ollama)** Http Request *Service*
- 14 **Create Draft** Gmail *Service*
- 15 **HTTP Request - Supabase Search** Http Request *Service*
- 16 **Loop Matches** Split In Batches *Logic*
- 17 **Done!** No Op *Logic*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 17, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Gmail, RSS, Supabase vectors
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own Gmail, RSS and Supabase vectors accounts, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 17 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 17 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fnotify-users-when-features-ship-with-semantic-search)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[Gmail](https://millionrounds.com/workflows?service=Gmail#library)[RSS](https://millionrounds.com/workflows?service=RSS#library)[Supabase vectors](https://millionrounds.com/workflows?service=Supabase+vectors#library)

## Workflows like it

Also alerts and monitoring, with the same services where possible, closest in size first.

- [**AI-powered restaurant booking system with Telegram** 17 steps · calls a model · Gmail, Google Calendar](https://millionrounds.com/workflow/ai-powered-restaurant-booking-system-with-telegram)
- [**Automate Reddit Monitoring with OpenAI and Notion** 17 steps · calls a model · Gmail, Notion](https://millionrounds.com/workflow/automate-reddit-monitoring-with-openai-and-notion)
- [**Automate investment risk monitoring with Qwen-Max AI and Slack** 17 steps · calls a model · Gmail, Slack](https://millionrounds.com/workflow/automate-investment-risk-monitoring-with-qwen-max-ai-and-sla)
- [**Automated error monitoring and reporting system with OpenAI** 17 steps · calls a model · Gmail, n8n data table](https://millionrounds.com/workflow/automated-error-monitoring-and-reporting-system-with-openai)
- [**Automated stock technical analysis with Grok and Gmail** 17 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/automated-stock-technical-analysis-with-grok-and-gmail)
- [**Classify supplier tiers with Google Sheets and Groq** 17 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/classify-supplier-tiers-with-google-sheets-and-groq)