During Ignite 2018, Microsoft has announced the availability of Maria DB support in Azure Database services. Today it has been opened for Public Preview for all Azure customers. What is MariaDB? MariaDB is a community-developed fork of the MySQL relational database management system intended to remain free under the GNU GPL.Development is led by some […]
Read more →Category: Emerging Technologies
Emerging technologies include a variety of technologies such as educational technology, information technology, nanotechnology, biotechnology, cognitive science, psychotechnology, robotics, and artificial intelligence.
Document Chunking Strategies: Optimizing RAG Retrieval Quality
Introduction: RAG systems live or die by their chunking strategy. Chunk too large and you waste context window space with irrelevant content. Chunk too small and you lose semantic coherence, making it hard for the LLM to understand context. The right chunking strategy depends on your document types, query patterns, and retrieval approach. This guide […]
Read more →NDepend–VSTS/Azure DevOps Integration–Part 01
In my previous article I wrote an introductory about NDepend and how it will be useful for Agile Team to ensure code quality. In that article we found how we can use NDepend in a developer machine. Now with this article we will familiarize ourselves in using NDepend in your build automation pipeline in your […]
Read more →New Microsoft Azure Certifications
Microsoft has recently announced new certification exam tracks for Azure Administrators, Developers and Architects. Here are the line ups that should help you move your career with right certifications. The three new Microsoft Azure Certifications are: Microsoft Certified Azure Developer Microsoft Certified Azure Administrator Microsoft Certified Azure Architect These certifications would essentially split the previous […]
Read more →Async LLM Patterns: Building High-Throughput AI Applications
Introduction: LLM APIs are inherently slow—even fast models take hundreds of milliseconds per request. When you need to process multiple prompts, make parallel API calls, or handle high-throughput workloads, synchronous code becomes a bottleneck. Async patterns let you overlap I/O wait times, dramatically improving throughput without adding complexity. This guide covers practical async patterns for […]
Read more →LLM Rate Limiting: Maximizing API Throughput Without Getting Throttled
Introduction: LLM APIs have strict rate limits—requests per minute, tokens per minute, and concurrent request limits. Hit these limits and your application grinds to a halt with 429 errors. Effective rate limiting isn’t just about staying under limits; it’s about maximizing throughput while maintaining reliability. This guide covers practical rate limiting patterns: token bucket algorithms […]
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