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
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...
April Patches for Azure DevOps Server
We are releasing patches for our self‑hosted product, Azure DevOps Server. We strongly recommend that all customers remain on the latest, most...
Integration Testing Azure Functions with Reqnroll and C#, Part 5 - Using Corvus.Testing.ReqnRoll in a build pipeline
If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. In the final post in this serie...
Integration Testing Azure Functions with Reqnroll and C#, Part 4 - Controlling your functions with additional configuration
If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. In the fourth of this series of...
Integration Testing Azure Functions with Reqnroll and C#, Part 3 - Using hooks to start Functions
If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. In the third of a series of pos...