ISE Developer Blog
Solving global tech challenges, sharing insights, and empowering developers
Latest posts
Learnings from External Data Handling
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.
Enhancing Analytical Queries with Semantic Kernel and In-Memory SQL Processing
Integrating Semantic Kernel with an ephemeral in-memory SQL plugin, enabling secure and efficient analytical queries over structured data.
AI Model Promotion with dstoolkit-mlops-v2
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.
Use Agent to Update Dataverse Table Content
Create an agent using Copilot Studio to update the content of a Dataverse table.
Fleet Configuration Management
This post explains the challenge of fleet configuration management, the role of an automated fleet configuration management system, and describes key considerations for building such a system.
PACT Contract Testing – Because Not Everything Needs Full Integration Tests
PACT is a contract testing tool that allows you to define a contract between two applications, enabling
Dockerizing UV
How to Dockerize Python Package Management Tool UV
Hierarchical Waterfall Evaluation of Query Classification, Retrieval & Generation in Multi-Agent LLM Systems
This post presents a hierarchical waterfall framework for evaluating query classification, retrieval, and generation in multi-agent LLM systems.
Efficient Ground Truth Generation for Search Evaluation
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.