Improve the “R” in RAG and embrace Agentic RAG in Azure SQL
The RAG (Retrieval Augmented Generation) pattern, which is commonly discussed today, is based on the foundational idea that the retrieval part is done using vector search. This ensures that all the most relevant information available to answer the given question is returned and then fed to an LLM to generate the final answer. While vector […]
The post Improve the “R” in RAG and embrace Agentic RAG in Azure SQL appeared first on Azure SQL Devs’ Corner.
Published on:
Learn moreRelated posts
Azure SDK Release (April 2026)
Azure SDK releases every month. In this post, you'll find this month's highlights and release notes. The post Azure SDK Release (April 2026) a...
General Availability: Dynamic Data Masking for Azure Cosmos DB
Protecting sensitive data is a foundational requirement for modern applications. As organizations scale their use of Azure Cosmos DB across te...
Azure DevOps MCP Server April Update
This update brings a set of improvements and changes across both local and remote Azure DevOps MCP Servers. Here’s a summary of what’s changed...
GitHub Copilot meets Azure Developer CLI: AI-assisted project setup and error troubleshooting
The Azure Developer CLI (azd) now integrates with GitHub Copilot for AI-assisted project scaffolding and intelligent deployment error troubles...
Microsoft Purview: Data Lifecycle Management- Azure PST Import
Azure PST Import enables Microsoft 365 admins to import PST files from Azure Blob Storage into Exchange Online mailboxes using PowerShell. The...