Explore how to build a data visualization agent using LangGraph Cloud. This guide explains the step-by-step workflow, including schema extraction, SQL query generation, and choosing appropriate visualizations. It demonstrates handling smaller datasets without complex techniques like RAG or LSH and provides code snippets for implementing various parts of the workflow.
Table of contents
Schema and Metadata Extraction:Embedding Creation:Entity and Context Retrieval:Relevant Table Extraction using Retrieval-Augmented Generation (RAG):Large Schema Handling :Table and Relevance Validation:SQL Query Generation:Query Structure Validation:Setting up the graph1. Schema and Metadata Extraction:2. Parsing the user's question:3. Getting the unique nouns:4. Generating the SQL query:5. Validating and fixing the SQL query:6. Executing the SQL query:7. Choosing an appropriate visualization:8. Formatting the data for visualization:FrontendSort: