# Match medical symptoms to products with OpenAI and Qdrant: n8n workflow

> Started by someone opening a chat with it, and works across Google Sheets and Qdrant. It puts OpenAI behind a retrieval step, so answers are drawn from...

Source: https://millionrounds.com/workflow/match-medical-symptoms-to-products-with-openai-and-qdrant (Millionrounds; every figure on the page links to its filing or article)

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

# Match medical symptoms to products with OpenAI and Qdrant

Started by someone opening a chat with it, and works across Google Sheets and Qdrant. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 13 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%2Fmatch-medical-symptoms-to-products-with-openai-and-qdrant)

**13 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**1** Loop or waits

**2** Services it connects to

## The flow

Starts it 2 Model 9 Logic 1 Service 1

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

- 1 **When clicking ‘Execute workflow’** Manual trigger *Starts it*
- 2 **Create Embedding** Embeddings Open Ai *Model*
- 3 **Split text into chunks** Text Splitter Character Text Splitter *Model*
- 4 **Create Embedding2** Embeddings Open Ai *Model*
- 5 **When chat message received** Chat trigger *Starts it*
- 6 **OpenAI LLM** Lm Chat Open Ai *Model*
- 7 **Store Chats** Memory Buffer Window *Model*
- 8 **Get all products** Google Sheets *Service*
- 9 **Qdrant Vector Database** Vector Store Qdrant *Model*
- 10 **Set Data Properly in vector database** Document Default Data Loader *Model*
- 11 **Get data from Qdrant database** Vector Store Qdrant *Model*
- 12 **RAG Agent** Agent *Model*
- 13 **Loop over each product** Split In Batches *Logic*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 13, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Google Sheets, Qdrant
- **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 Google Sheets and Qdrant accounts, and a key for OpenAI. 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 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. 13 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 13 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%2Fmatch-medical-symptoms-to-products-with-openai-and-qdrant)
- **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.

[Google Sheets](https://millionrounds.com/workflows?service=Google+Sheets#library)[Qdrant](https://millionrounds.com/workflows?service=Qdrant#library)

## Workflows like it

Also data collection, with the same services where possible, closest in size first.

- [**24/7 AI assistant with OpenAI and Google Sheets** 13 steps · calls a model · Google Sheets](https://millionrounds.com/workflow/24-7-ai-assistant-with-openai-and-google-sheets)
- [**AI agent that updates its own rules to modify behavior** 13 steps · calls a model · Google Sheets, Postgres](https://millionrounds.com/workflow/ai-agent-that-updates-its-own-rules-to-modify-behavior)
- [**AI job relevancy scorer: Search LinkedIn Jobs with OpenAI** 13 steps · calls a model · Google Sheets](https://millionrounds.com/workflow/ai-job-relevancy-scorer-search-linkedin-jobs-with-openai)
- [**AI-driven SMS & email assistant with Google Sheets** 13 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/ai-driven-sms-and-email-assistant-with-google-sheets)
- [**Add Project Tasks to Google Sheets with OpenAI** 13 steps · calls a model · Google Sheets](https://millionrounds.com/workflow/add-project-tasks-to-google-sheets-with-openai)
- [**Analyze procurement savings opportunities with Google Sheets** 13 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/analyze-procurement-savings-opportunities-with-google-sheets)