# Answer electronics questions with Gemini and SerpAPI: n8n workflow

> Started by someone opening a chat with it, and works across Supabase vectors. It puts Gemini behind a retrieval step, so answers are drawn from documents...

Source: https://millionrounds.com/workflow/answer-electronics-questions-with-gemini-and-serpapi (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Customer support](https://millionrounds.com/workflows?category=Customer+support#library)

# Answer electronics questions with Gemini and SerpAPI

Started by someone opening a chat with it, and works across Supabase vectors. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 16 steps: a working afternoon to understand properly.

Medium Calls a model: Gemini Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fanswer-electronics-questions-with-gemini-and-serpapi)

**16 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**1** Service it connects to

## The flow

Starts it 2 Model 11 Service 3

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

- 1 **Embeddings Google Gemini** Embeddings Google Gemini *Model*
- 2 **Token Splitter1** Text Splitter Token Splitter *Model*
- 3 **Window Buffer Memory1** Memory Buffer Window *Model*
- 4 **Google Gemini Chat Model** Lm Chat Google Gemini *Model*
- 5 **Embeddings Google Gemini1** Embeddings Google Gemini *Model*
- 6 **When Executed by Another Workflow** Execute Workflow trigger *Starts it*
- 7 **When chat message received** Chat trigger *Starts it*
- 8 **HTTP Request1** Http Request Tool *Service*
- 9 **Update Database** Tool Workflow *Model*
- 10 **Supabase Vector Store** Vector Store Supabase *Model*
- 11 **Default Data Loader1** Document Default Data Loader *Model*
- 12 **AI Agent1** Agent *Model*
- 13 **Supabase Vector Store1** Vector Store Supabase *Model*
- 14 **HTTP Request** Http Request *Service*
- 15 **Respond to Chat** Chat *Model*
- 16 **Extract from File1** Extract From File *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 16
- **Size:** Medium: a working afternoon
- **Connects to:** Supabase vectors
- **Model:** Gemini
- **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 Supabase vectors account, and a key for Gemini. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls Gemini. 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. 16 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 16 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%2Fanswer-electronics-questions-with-gemini-and-serpapi)
- **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.

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

## Workflows like it

Also customer support, with the same services where possible, closest in size first.

- [**Answer support FAQs with Gemini and Supabase** 16 steps · calls a model · Google Sheets, Supabase vectors](https://millionrounds.com/workflow/answer-support-faqs-with-gemini-and-supabase)
- [**Build a support RAG chatbot for Volta Bikes with OpenAI** 14 steps · calls a model · Supabase vectors](https://millionrounds.com/workflow/build-a-support-rag-chatbot-for-volta-bikes-with-openai)
- [**Answer questions from documents with RAG and Supabase** 19 steps · calls a model · Google Drive, Supabase vectors](https://millionrounds.com/workflow/answer-questions-from-documents-with-rag-and-supabase)
- [**Answer backlog questions from Slack with Supabase and Gemini** 12 steps · calls a model · Supabase vectors](https://millionrounds.com/workflow/answer-backlog-questions-from-slack-with-supabase-and-gemini)
- [**RAG: Support Claim Playbook Assistant with Slack** 12 steps · calls a model · Google Drive, Slack](https://millionrounds.com/workflow/rag-support-claim-playbook-assistant-with-slack)
- [**Smart email assistant: automate customer support with Supabase** 20 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/smart-email-assistant-automate-customer-support-with-supabas)