Showing category results for ISE

Exploring how Microsoft Fabric OneLake indexer integrates with OpenAI

Steps to Produce High Quality Ground Truth Pairs for AI Systems

This blog post discusses the challenges and solutions encountered by the ISE team at Microsoft while making a distributed system production-ready. It focuses on issues including slow processing speeds and out-of-memory exceptions, and provides insights into the methods used to address these problems.

Integrating Semantic Kernel with an ephemeral in-memory SQL plugin, enabling secure and efficient analytical queries over structured data.

Evaluates various repository structures and designs for maximizing the efficiency of Data Scientists and Software Engineers developing, promoting and deploying AI models on the same project.

Create an agent using Copilot Studio to update the content of a Dataverse table.

PACT is a contract testing tool that allows you to define a contract between two applications, enabling

This article discusses the challenges and methodologies for creating a reliable groundtruth dataset for search evaluation. It highlights the use of TREC Pooling and GPT-4o assisted ranking to overcome the labor-intensive process of manual labeling, ensuring high-quality search evaluations even with limited data.

Azure Durable Functions streamline RAG indexing by combining push flexibility with pull reliability for scalable,

Infrastructure-as-Code (IaC) is a common DevOps practice that enterprises use to provision and deploy IT infrastructure. Enterprises applying IaC and continuous integration/continuous delivery (CI/CD) pipelines can maintain high availability and manage risk for their cloud environments at scale. However, multi-environment challenges, manual process...