Learn to build an AI-driven SQL Query Assistant using .NET Core, Azure Functions, Neon, and Azure OpenAI service. This assistant translates natural language queries into SQL, ensuring secure and efficient data handling. The guide covers setting up Azure resources, creating necessary APIs, and deploying models like GPT-4 and text-embedding-ada-002 for generating SQL queries and embeddings.
Table of contents
Setting Up the Neon ProjectSetting Up Azure AI Service to Use ModelsCreating the Azure Function AppRetrieving and Storing Database SchemaGenerating Embeddings and Storing Them in NeoDynamically Generating SQL QueriesExecuting SQL Queries and Returning Results from NeonRun the Project LocallyTest the APIsDeploy to AzureFuture ImprovementsConclusionAdditional ResourcesTry itSort: