Generate SQL queries from schema only - AI-powered
Needs changesWhat this workflow does
This AI workflow has 20 nodes and runs manually, when you click “Execute workflow” (plus 1 other trigger). Along the way it connects OpenAI Chat Model and MySQL.
How it runs
Trigger: Manually, when you click “Execute workflow” (plus 1 other trigger).
- List all tables in a database (MySQL): run a query
- Load the schema from the local file (Read/Write Files from Disk): reads a file from disk
- Extract database schema (MySQL): run a query
- Extract data from file (Extract from File): extracts data from a file (from json)
- Add table name to output (Edit Fields (Set)): sets 1 field: table
- Combine schema data and chat input (Edit Fields (Set)): sets 4 fields: sessionId, action, chatinput…
- Convert data to binary (Convert to File): converts data to a file (to json)
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; memory: Window Buffer Memory
- Save file locally (Read/Write Files from Disk): writes a file to disk
- Extract SQL query (Edit Fields (Set)): sets 1 field: query
…plus 5 more steps. See the full node list below.
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 AI Agent (v1.6): 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) AI Agent (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (13)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - No Operation, do nothing
n8n-nodes-base.noOp - MySQL
n8n-nodes-base.mySql - Edit Fields (Set)
n8n-nodes-base.set - Convert to File
n8n-nodes-base.convertToFile - Read/Write Files from Disk
n8n-nodes-base.readWriteFile - Extract from File
n8n-nodes-base.extractFromFile - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Manual Trigger
n8n-nodes-base.manualTrigger - If
n8n-nodes-base.if - Merge
n8n-nodes-base.merge
From the author
This workflow is a modification of the previous template on how to create an SQL agent with LangChain and SQLite. The key difference – the agent has access only to the database schema, not to the actual data. To achieve this, SQL queries are made outside the…