Vanna.ai and Microsoft SQL
Vanna.ai, in partnership with Azure SQL Database Product Management, bring you a collaboration for using Vanna's natural language to SQL (NL2SQL) agent with the Azure SQL Database.
How does Vanna.ai work?
First, Vanna is an open-source Python RAG (Retrieval-Augmented Generation) framework for SQL generation/...
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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; just ask the database what ...
In my previous posts, I have covered using Azure OpenAI services with Azure SQL Database via REST endpoints. This post with further explore that pathway by creating stored procedures you can use to encapsulate the REST calls and combine them with custom business logic for AI content moderation with Azure SQL Database.
A Quick Introduction
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Welcome to the exploration of how to chat with your data in Azure SQL Database. Being able to interact with your data more intuitively and conversationally can significantly enhance your data analysis and decision-making processes. This blog post will guide you through the process of setting up a chat interface for your Azure SQL Database, ...
With public preview of integrated vectorization, a ground-breaking capability of vector search in Azure AI Search (previously Azure Cognitive Search), you can do vector search with data stored in Azure SQL Database easily. This feature is designed to streamline the process of chunking, generating, storing, and querying vectors for vector ...