AI data analyst agent and visualization agent for large spreadsheets
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs when a chat message arrives. Along the way it connects NocoDB and OpenAI Chat Model.
How it runs
Trigger: When a chat message arrives.
- Settings (Edit Fields (Set)): sets or maps fields
- nocodb_extract_table (HTTP Request): calls an HTTP API
- Extract_Columns (Edit Fields (Set)): sets or maps fields
- Data Analyst Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (NocoDB); memory: Window Buffer Memory
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Data Analyst Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Data Analyst Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (7)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Edit Fields (Set)
n8n-nodes-base.set - Noco Db Tool
n8n-nodes-base.nocoDbTool - HTTP Request
n8n-nodes-base.httpRequest - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
From the author
Purpose of workflow: This workflow transforms spreadsheet data into an interactive, AI-powered knowledge base that enables users to gain deep insights through natural language queries, searchability, and comparative analysis. How it works: 1. Data Storage &…