Run AI-powered market research with Groq, OpenAI, Documentero and Gmail
UnknownWhat this workflow does
This AI workflow has 24 nodes and runs when a chat message arrives. Along the way it connects Groq Chat Model, OpenAI Chat Model, Gmail and Preview Documentero (community).
How it runs
Trigger: When a chat message arrives.
- Planner Agent (AI Agent): runs an AI agent, with model: Groq Chat Model; memory: Simple Memory; output parser: Structured Output Parser
- Market Scan Agent (AI Agent): runs an AI agent, with model: Groq Chat Model; memory: Simple Memory; output parser: Structured Output Parser
- Competitor Insights Agent (AI Agent): runs an AI agent, with model: Groq Chat Model; memory: Simple Memory; output parser: Structured Output Parser
- Customer Insights Agent (AI Agent): runs an AI agent, with model: Groq Chat Model; memory: Simple Memory; output parser: Structured Output Parser
- Merge: merges the data from its input branches
- Synthesis Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; memory: Simple Memory
- Format Data for Documentero (Code): runs custom JavaScript code
- Documentero: generate and email
- Send a message (Gmail): uses Gmail
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-preview-documentero is verified or supports 3.0 (used in Documentero).
Nodes used (10)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - AI Agent
@n8n/n8n-nodes-langchain.agent - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Merge
n8n-nodes-base.merge - Groq Chat Model
@n8n/n8n-nodes-langchain.lmChatGroq - Documentero
n8n-nodes-preview-documentero.documentero - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Gmail
n8n-nodes-base.gmail - Code
n8n-nodes-base.code
From the author
Description This n8n template demonstrates how to build an AI-powered Market Research Assistant using a multi-agent workflow. It helps you get a 360-degree view of a product idea or research topic by analysing: Customer insights and pain points Market size…