Templates / Conversing with data: transforming text into SQL queries and visual curves

Conversing with data: transforming text into SQL queries and visual curves

Needs changes

by hippolyte-hu ✓ · 3,513 views · created 2025-04-09 · Engineering, AI Chatbot

Needs 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 25 nodes and runs manually, when you click “Execute workflow” (plus 1 other trigger). Along the way it connects Postgres and OpenAI Chat Model.

How it runs

Trigger: Manually, when you click “Execute workflow” (plus 1 other trigger).

  1. List all tables in a database (Postgres): uses Postgres
  2. Load the schema from the local file (Read/Write Files from Disk): reads a file from disk
  3. Schema Extractor (Postgres): uses Postgres
  4. Extract data from file (Extract from File): extracts data from a file
  5. Add table name to output (Edit Fields (Set)): sets or maps fields
  6. Combine schema data and chat input (Edit Fields (Set)): sets or maps fields
  7. Convert data to Json (Convert to File): converts data to a file
  8. AI Agent: runs an AI agent, with model: Deepseek-chat; memory: Window Buffer Memory
  9. Save file locally (Read/Write Files from Disk): reads a file from disk
  10. Extract SQL query (Edit Fields (Set)): sets or maps fields

…plus 8 more steps. See the full node list below.

Services it uses

PostgresOpenAI Chat Model

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), plot 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.

Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).

Removed in 3.0Replace with
AI Agent v1 (old agent modes)
AI Agent (v1.6), plot 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 (14)

From the author

Conversational Data Retrieval and Visualization Workflow This workflow enables users to interact with a PostgreSQL database using natural language. It translates text inputs into SQL queries, retrieves the corresponding data, and generates visualizations…

Excerpt from hippolyte-hu's description on n8n.io.

View the original on n8n.io → Check your own copy

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