Text to SQL Agent for Data Visualization 

Data analysis has traditionally been inaccessible to those without extensive SQL or visualization expertise. This video highlights a recent project demonstrating how agents can bridge the gap between natural language questions and data visualization. We explore a repo that implements a SQL agent in LangGraph, serving it via LangGraph API as the backend to a user-facing app. The app's UI allows users to input questions and upload CSV files, which are converted into an SQLite database. The agent then queries this database based on user questions, selects appropriate visualization methods, and formats the resulting data for display in the UI. We walk through the repo, demonstrate backend testing via LangGraph Studio, and showcase the user interface in action.
Repo:
github.com/Dhr...
Blog:
blog.langchain...