Natural language database queries with dual-agent AI & PostgreSQL integration
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.
Nodes used (13)
- Execute Workflow Trigger
n8n-nodes-base.executeWorkflowTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Think Tool
@n8n/n8n-nodes-langchain.toolThink - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Postgres Chat Memory
@n8n/n8n-nodes-langchain.memoryPostgresChat - Telegram
n8n-nodes-base.telegram - OpenAI
@n8n/n8n-nodes-langchain.openAi - Telegram Trigger
n8n-nodes-base.telegramTrigger - Switch
n8n-nodes-base.switch - Edit Fields (Set)
n8n-nodes-base.set - Merge
n8n-nodes-base.merge - Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow - Postgres
n8n-nodes-base.postgres
What it does
AI Database Assistant with Smart Query's & PostgreSQL Integration Description: π Transform Your Database into an Intelligent AI Assistant This workflow creates a smart database assistant that safely handles natural language queries without crashing your system. Features dual-agent architecture with built-in query limits and PostgreSQL optimization β perfect for commercial applications! β
Ideal for: SaaS developers building database search features π Database administrators providing safe AI access π‘οΈ Business teams needing user-friendly data queries π Anyone wanting ChatGPT-like database interaction π€ π§ How It Works 1οΈβ£ User asks a question β "Show me top 10 popular products" 2οΈβ£ Main AI Agent β Interprets the request and ensures safety limits 3οΈβ£ SQL Sub-Agent β Generates precise PostgreSQL queries 4οΈβ£ Database executes β Returns formatted, limited results safely β‘ Setup Instructions 1οΈβ£ Prepare Your Database Ensure PostgreSQL is accessible from n8n Note your table structure and column names Set up database connection credentials 2οΈβ£ Customize the Templates Replace YOURTABLENAME with your actual table name Update YOURFIELDS with your column names Modify examples to match your use case Important: Keep all LIMIT clauses intact! 3οΈβ£ Configure the Agents Copy Main Agent system message to your primary AI node Copy Sub-Agent system message to your SQL generator node Connect the sub-workflow between both agents 4οΈβ£ Test & Deploy Test with sample queries like "Show me 5 recent items" Verify query limits work (max 50 results) Deploy and monitor performance π― Why Use This Workflow? βοΈ System Protection β Built-in limits prevent crashes from large queries βοΈ Natural Language β Users ask questions in plain English βοΈ Commercial Ready β Generic templates work with any database βοΈ Dual-Agent Safety β Smart interpretation + precise SQL generation βοΈ PostgreSQL Optimized β Handles complex schemas and data types π¨ Critical Features Query Limits: Default 10, maximum 50 results (can be modified) Error Prevention: No unlimited data retrieval Smart Routing: Natural language β Safe SQL β Formatted results Customizable: Works with any PostgreSQL database schema π Start building your AI database assistant today β safe, smart, and scalable!