Visualize your SQL Agent queries with OpenAI and Quickchart.io

Overview This workflow aims to provide data visualization capabilities to a native SQL Agent. Together, they can help foster data analysis and data visualization within a team. It uses the native SQL Agent that works well and adds visualization capabilities thanks to OpenAI’s Structured Output and Quickchart.io. How it works Information Extraction: The Information Extractor identifies and extracts the user's question. If the question includes a visualization aspect, the SQL Agent alone may not respond accurately. SQL Querying: It leverages a regular SQL Agent: it connects to a database, queries it, and translates the response into a human-readable format. Chart Decision: The Text Classifier

Help me set up the n8n workflow "Visualize your SQL Agent queries with OpenAI and Quickchart.io" (https://n8n.io/workflows/2559). It uses: HTTP Request, AI Agent, OpenAI Chat Model, Simple Memory, Text Classifier, Information Extractor. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.