# Generate multi-agent research reports with Tavily and Groq: n8n workflow

> Started by an event in a connected app, and works across Notion and Supabase vectors. It puts Groq, OpenAI and one other behind a retrieval step, so answers...

Source: https://millionrounds.com/workflow/generate-multi-agent-research-reports-with-tavily-and-groq (Millionrounds; every figure on the page links to its filing or article)

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

# Generate multi-agent research reports with Tavily and Groq

Started by an event in a connected app, and works across Notion and Supabase vectors. It puts Groq, OpenAI and one other behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 22 steps: large, and worth reading before you trust it with anything live.

Large Calls a model: Groq, OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fgenerate-multi-agent-research-reports-with-tavily-and-groq)

**22 steps** Large: read it before trusting it with anything live

**0** Branches: places the flow splits

**0** Loops or waits

**2** Services it connects to

## The flow

Starts it 1 Model 10 Logic 7 Service 4

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

- 1 **Start Research** Manual trigger *Starts it*
- 2 **Groq Chat Model** Lm Chat Groq *Model*
- 3 **Summarizer LLM1** Lm Chat Groq *Model*
- 4 **OpenAi Analyst LLM1** Lm Chat Open Router *Model*
- 5 **Embeddings OpenAI1** Embeddings Open Ai *Model*
- 6 **Recursive Character Text Splitter1** Text Splitter Recursive Character Text Splitter *Model*
- 7 **Set Research Topic1** Set *Logic*
- 8 **Synthesis Agent1** Agent *Model*
- 9 **Summarizer Sub-Agent1** Agent *Model*
- 10 **Analyst Sub-Agent1** Agent *Model*
- 11 **Supabase Vector Store1** Vector Store Supabase *Model*
- 12 **Default Data Loader1** Document Default Data Loader *Model*
- 13 **Parse Orchestrator Tasks1** Code *Logic*
- 14 **Final Report Output1** Set *Logic*
- 15 **Code in JavaScript** Code *Logic*
- 16 **Combine Agent Outputs1** Merge *Logic*
- 17 **Web Search Query** Http Request *Service*
- 18 **Web Search Query 4** Http Request *Service*
- 19 **Web Search Query 5** Http Request *Service*
- 20 **Save Report to Notion1** Notion *Service*
- 21 **Merge Search Results1** Merge *Logic*
- 22 **Aggregate Research Context1** Code *Logic*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 22
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Notion, Supabase vectors
- **Model:** Groq, OpenAI, OpenRouter
- **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 Notion and Supabase vectors accounts, and a key for Groq and 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 Groq, OpenAI and OpenRouter. 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?

Take your time. At 22 steps it is large: read it before trusting it with anything live.

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 22 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%2Fgenerate-multi-agent-research-reports-with-tavily-and-groq)
- **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.

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

## Workflows like it

Also research and reporting, with the same services where possible, closest in size first.

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- [**Analyze & Tag User Feedback in Notion with OpenAI** 19 steps · calls a model · Notion](https://millionrounds.com/workflow/analyze-and-tag-user-feedback-in-notion-with-openai)
- [**Tech news aggregator: The Verge & TechCrunch RSS to Notion** 25 steps · calls a model · Notion, RSS](https://millionrounds.com/workflow/tech-news-aggregator-the-verge-and-techcrunch-rss-to-notion)
- [**AI-powered customer feedback analysis & routing** 18 steps · calls a model · Gmail, Notion](https://millionrounds.com/workflow/ai-powered-customer-feedback-analysis-and-routing)
- [**Analyze competitor strategy from YouTube & RSS with Gemini** 18 steps · calls a model · Apify, Notion](https://millionrounds.com/workflow/analyze-competitor-strategy-from-youtube-and-rss-with-gemini)