Generate multi-agent research reports with Tavily, Groq, Notion and Supabase

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1. Workflow Overview

How it works A manual trigger sets the research topic and generates three parallel Tavily web search queries A Summarizer Agent (Groq Llama 3.3 70B) and an Analyst Agent (OpenRouter GPT) process th...

Best for

Market Research automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.lmchatgroq, n8n-nodes-base.code, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenrouter

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Redowan Ahmed Farhan.

Original n8n.io source

1.1 Workflow description

Title: Generate multi-agent research reports with Tavily, Groq, Notion and Supabase
Workflow name: Generate multi-agent research reports with Tavily, Groq, Notion and Supabase

How it works

A manual trigger sets the research topic and generates three parallel Tavily web search queries
A Summarizer Agent (Groq Llama 3.3 70B) and an Analyst Agent (OpenRouter GPT) process the search results simultaneously, producing a factual summary and a deep trend analysis
A Synthesis Agent (Groq Llama 3.3 70B) combines both outputs into a structured executive report with key findings, strategic implications, and recommended actions
The report is chunked and saved as a new Notion database page, then embedded with OpenAI and indexed in Supabase for semantic search

Set up steps

Add your Tavily, Groq, and OpenRouter API credentials (~10 min)
Connect Notion OAuth2 and point the node to your target database
Add your Supabase credentials and confirm your documents table has a vector column

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Start Research

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 2 - Groq Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGroq - lmChatGroq
Config choices: Version 1

Block 3 - Code in JavaScript

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 4 - Set Research Topic1

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 5 - Parse Orchestrator Tasks1

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 6 - Web Search Query

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 7 - Merge Search Results1

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 8 - Web Search Query 4

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 9 - Web Search Query 5

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 10 - Aggregate Research Context1

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 11 - Summarizer Sub-Agent1

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 12 - Summarizer LLM1

Type / Role: @n8n/n8n-nodes-langchain.lmChatGroq - lmChatGroq
Config choices: Version 1

Block 13 - Combine Agent Outputs1

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 14 - Analyst Sub-Agent1

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 15 - OpenAi Analyst LLM1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 16 - Synthesis Agent1

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 17 - Save Report to Notion1

Type / Role: n8n-nodes-base.notion - notion
Config choices: Version 2.2

Block 18 - Final Report Output1

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 19 - Supabase Vector Store1

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreSupabase - vectorStoreSupabase
Config choices: Version 1.3

Block 20 - Embeddings OpenAI1

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 21 - Default Data Loader1

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1.1

Block 22 - Recursive Character Text Splitter1

Type / Role: @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - textSplitterRecursiveCharacterTextSplitter
Config choices: Version 1

Block 23 - Main Overview

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 24 - Section 1: Trigger & Topic Setup

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 27 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Generate multi-agent research reports with Tavily, Groq, Notion and Supabase
Complexity	advanced
Nodes	27
Categories	Market Research, AI RAG
Author	Redowan Ahmed Farhan
Published	06 May 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/15514/15514.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Market Research workflows AI RAG workflows

Frequently asked questions

What does Generate multi-agent research reports with Tavily, Groq, Notion and Supabase do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI RAG use case.

Redowan Ahmed Farhan

14 workflows

Nodes

n8n-nodes-base.manualtrigger @n8n/n8n-nodes-langchain.lmchatgroq n8n-nodes-base.code n8n-nodes-base.set n8n-nodes-base.httprequest n8n-nodes-base.merge @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenrouter

Complexity

advanced

Published 06 May 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/15514/15514.json

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Generate multi-agent research reports with Tavily, Groq, Notion and Supabase

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Start Research

Block 2 - Groq Chat Model

Block 3 - Code in JavaScript

Block 4 - Set Research Topic1

Block 5 - Parse Orchestrator Tasks1

Block 6 - Web Search Query

Block 7 - Merge Search Results1

Block 8 - Web Search Query 4

Block 9 - Web Search Query 5

Block 10 - Aggregate Research Context1

Block 11 - Summarizer Sub-Agent1

Block 12 - Summarizer LLM1

Block 13 - Combine Agent Outputs1

Block 14 - Analyst Sub-Agent1

Block 15 - OpenAi Analyst LLM1

Block 16 - Synthesis Agent1

Block 17 - Save Report to Notion1

Block 18 - Final Report Output1

Block 19 - Supabase Vector Store1

Block 20 - Embeddings OpenAI1

Block 21 - Default Data Loader1

Block 22 - Recursive Character Text Splitter1

Block 23 - Main Overview

Block 24 - Section 1: Trigger & Topic Setup

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions