AI agent to chat with Supabase/PostgreSQL DB
Video Guide I prepared a detailed guide that showed the whole process of building a resume analyzer. []( Who is this for? This workflow is ideal for developers, data analysts, and business owners who want to enable conversational interactions with their database. It’s particularly useful for cases where users need to extract, analyze, or aggregate data without writing SQL queries manually. What problem does this workflow solve? Accessing and analyzing database data often requires SQL expertise o
At a glance
AI agent to chat with Supabase/PostgreSQL DB is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects OpenAI. It's free to download. Follow the 5-step import below to go live in minutes.
- Platform
- n8n
- Connects
- OpenAI
- Modules
- 6
- Price
- Free
- Version
- v1.0

About this workflow
Video Guide I prepared a detailed guide that showed the whole process of building a resume analyzer. []( Who is this for? This workflow is ideal for developers, data analysts, and business owners who want to enable conversational interactions with their database. It’s particularly useful for cases where users need to extract, analyze, or aggregate data without writing SQL queries manually. What problem does this workflow solve? Accessing and analyzing database data often requires SQL expertise or dedicated reports, which can be time-consuming. This workflow empowers users to interact with a database conversationally through an AI-powered agent. It dynamically generates SQL queries based on user requests, streamlining data retrieval and analysis. What this workflow does This workflow integrates OpenAI with a Supabase database, enabling users to interact with their data via an AI agent. The agent can: - Retrieve records from the database. - Extract and analyze JSON data stored in tables. - Provide summaries, aggregations, or specific data points based on user queries. 1. Dynamic SQL Querying: The agent uses user prompts to create and execute SQL queries on the database. 2. Understand JSON Structure: The workflow identifies JSON schema from sample records, enabling the agent to parse and analyze JSON fields effectively. 3. Database Schema Exploration: It provides the agent with tools to retrieve table structures, column details, and relationships for precise query generation. Setup Preparation 1. Create Accounts: - N8N: For workflow automation. - Supabase: For database hosting and management. - OpenAI: For building the conversational AI agent. 2. Configure Database Connection: - Set up a PostgreSQL database in Supabase. - Use appropriate credentials (username, password, host, and database name) in your workflow. N8N Workflow AI agent with tools: 1. Code Tool: - Execute SQL queries based on user input. 2. Database Schema Tool: - Retrieve a list of all tables in the database. - Use a predefined SQL query to fetch table definitions, including column names, types, and references. 3. Table Definition: - Retrieve a list of columns with types for one table.
How to import this n8n workflow
- 1
Download the workflow JSON file after purchase.
- 2
Open n8n → click the menu → Import from File.
- 3
Select the downloaded JSON and import.
- 4
Set up credentials for each node that requires them.
- 5
Click Execute Workflow to test, then activate.
Setup guide
Setup guide included
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- JSON blueprint — instant download
- Setup guide PDF included
- 5 downloads · valid 30 days
- Works with n8n
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