NL2SQL with LangChain and Azure SQL Database
LangChain is an open-source framework for creating applications that use and are powered by language models (LLM/MLM/SML). In this post, basic LangChain components (toolkits, chains, agents) will be used to create a natural language to SQL prompt that will allow interactions with an Azure SQL Database;
The post NL2SQL with LangChain and Azure SQL Database appeared first on Azure SQL Devs’ Corner.
Published on:
Learn moreRelated posts
Automating Microsoft Fabric Workspace Creation with Azure DevOps Pipelines
In today’s fast-paced analytics landscape, Microsoft Fabric has become the leader of enterprise BI implementations, one of the fundamental con...
New T-SQL AI Features are now in Public Preview for Azure SQL and SQL database in Microsoft Fabric
At the start of this year, we released a new set of T-SQL AI features for embedding your relational data for AI applications. Today, we have b...
Zonal resiliency in Azure
Azure DevOps and GitHub Repositories — Next Steps in the Path to Agentic AI
In May, we talked about the evolution of GitHub Copilot from a coding assistant into an AI powered peer programmer. Since then, GitHub has tak...
Public preview of vector indexing in Azure SQL DB, Azure SQL MI, and SQL database in Microsoft Fabric
We are happy to share that DiskANN vector indexing is now in public preview across Azure SQL Database, Azure SQL Managed Instance, and SQL dat...