Search Outlook emails with natural language queries using GPT-4o
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 13 nodes and runs when a chat message arrives. Along the way it connects OpenAI Chat Model and Microsoft Outlook.
How it runs
Trigger: When a chat message arrives.
- Generate Search Term (AI Agent): runs an AI agent, with model: OpenAI Chat Model; memory: Simple Memory; output parser: Structured Output Parser
- Merge: merges the data from its input branches
- Search Outlook (Microsoft Outlook): get many
- Score if email is relevent to search (AI Agent): runs an AI agent, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Convert to one Output (Aggregate): combines items into one
- Output as table for user (AI Agent): runs an AI agent, with model: OpenAI Chat Model
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (8)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Merge
n8n-nodes-base.merge - AI Agent
@n8n/n8n-nodes-langchain.agent - Microsoft Outlook
n8n-nodes-base.microsoftOutlook - Aggregate
n8n-nodes-base.aggregate
From the author
This workflow allows you to search your Outlook mailbox with natural language. You type what you’re looking for (e.g., “invoice from last week”), and the workflow: 1. Uses OpenAI to generate a search query. 2. Searches Outlook emails and ranks them by…