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• Building Enterprise Knowledge Assistants with Azure AI SearchJul 10, 2026. Build enterprise knowledge assistants with Azure AI Search for faster, accurate answers. Leverage RAG and LLMs for intelligent, secure information retrieval.
• SurrealDB Explained: Combining SQL, Graph, and Document DatabasesJul 09, 2026. SurrealDB unifies SQL, graph, and document databases for modern apps. Simplify architecture with a single, multi-model solution.
• HTTP QUERY Method: Why It Finally Fixes Search APIsJul 07, 2026. Introducing the HTTP QUERY method: a revolutionary fix for search APIs, combining GET's safety with POST's body capabilities for efficient, reliable data retrieval.
• Meilisearch vs Elasticsearch: Which Search Engine Is Right for Your Application?Jul 08, 2026. Meilisearch vs. Elasticsearch: Compare features, architecture, and use cases to choose the right search engine for your application's needs.
• Understanding Vector Embeddings: The Foundation of Modern AI SearchJul 08, 2026. Unlock the power of modern AI search with vector embeddings. Understand how they represent meaning, enable semantic search, and drive RAG applications.
• DuckDB Tutorial: Getting Started with the Fastest Analytics DatabaseJul 06, 2026. Master DuckDB! Learn to install and use this lightning-fast, serverless analytics database for efficient data analysis and reporting.
• OpenSearch vs Elasticsearch: Key Differences, Performance, and CostsJul 06, 2026. OpenSearch vs Elasticsearch: Explore key differences in licensing, features, performance, and costs to choose the right search & analytics platform.
• How Vector Search Powers Modern AI Applications and RAG SystemsJul 06, 2026. Unlock AI's potential with vector search! Discover how it powers modern applications, RAG, and semantic understanding beyond keywords.
• HTTP QUERY: The New HTTP Method That Makes Complex Searches CleanerJul 04, 2026. HTTP QUERY is a new method for cleaner, complex searches, combining POST's body flexibility with GET's safety and cacheability.
• HTTP QUERY: The Missing Piece Between GET and POST, 16 Years in the MakingJul 05, 2026. Introducing HTTP QUERY: the new standard method solving API search limitations. It combines GET's safety with POST's payload capacity, fixing a 16-year-old design gap.
• Building a Search Platform Using OpenSearch and .NETJul 03, 2026. Build powerful search platforms with OpenSearch and .NET. Learn about its architecture, indexing, querying, and advanced features for scalable, relevant search.
• Graph Databases vs Relational Databases: Choosing the Right ModelJul 03, 2026. Graph vs. Relational Databases: Understand strengths, weaknesses, and use cases to choose the right data model for your application.
• PostgreSQL vs SQL Server for Modern .NET ApplicationsJul 02, 2026. Compare PostgreSQL vs SQL Server for .NET apps. Explore licensing, performance, cloud, JSON, and scalability to choose the best fit.
• Building AI-Powered Database Query Optimization Tools with SQL Server and .NETJun 30, 2026. Build AI-powered SQL Server query optimization tools with .NET. Automate performance analysis, detect bottlenecks, and get intelligent recommendations.
• Building Intelligent API Discovery Portals with ASP.NET Core and Vector SearchJun 30, 2026. Build intelligent API discovery portals with ASP.NET Core and vector search. Enhance developer productivity by enabling semantic API search.
• Creating an AI-Powered API Documentation Assistant with ASP.NET Core and Vector SearchJun 30, 2026. Build an AI-powered API documentation assistant using ASP.NET Core and vector search for faster, contextual answers.
• Building an AI-Driven Database Query Performance Analyzer with .NET and SQL ServerJun 30, 2026. Build an AI-driven .NET and SQL Server analyzer to boost database query performance, reduce troubleshooting time, and enhance application responsiveness.
• Implementing an AI-Powered Knowledge Base Search System with ASP.NET Core and Azure AI SearchJun 30, 2026. Build an AI-powered knowledge base search with ASP.NET Core & Azure AI Search. Enhance productivity with semantic search & RAG.
• Microsoft Fabric Update: You Can Now Adjust Column Width in the SQL Analytics Endpoint User InterfaceJun 26, 2026. This article is about the new feature in Microsoft Fabric that allows you to adjust column width
• Intelligent Database Index Optimization Using AI and SQL ServerJun 26, 2026. Leverage AI and SQL Server DMVs with .NET to build intelligent index optimization, boosting performance and reducing manual tuning.
• Building AI-Powered SQL Query Performance Advisors with Entity Framework CoreJun 26, 2026. Build AI-powered SQL query advisors with Entity Framework Core to automatically detect bottlenecks, optimize performance, and boost application responsiveness.
• Role of Hilbert Curve in LLMs: What It Is and How It Improves Data Organization and RetrievalJun 24, 2026. Learn what the Hilbert Curve is and how it helps Large Language Models (LLMs) organize, store, retrieve, and process high-dimensional data more efficiently. Explore its role in vector databases, embeddings, retrieval systems, and AI infrastructure.
• Why Every Databricks Data Engineer Should Audit Their Query HistoryJun 24, 2026. Audit Databricks query history to identify and optimize costly, long-running queries, ensuring financial governance and platform performance.
• How to Build AI-Powered Engineering Knowledge Assistants with BlazorJun 24, 2026. Build AI-powered engineering knowledge assistants with Blazor & ASP.NET Core for faster access to crucial information.
• Maximum Number of People DefeatedJun 23, 2026. Find the max people defeated by strength p. Uses sum of squares formula & binary search for efficient O(log n) solution.
• Building AI-Powered Enterprise Search Validation PipelinesJun 23, 2026. Build AI-powered enterprise search validation pipelines in ASP.NET Core to ensure accurate, trustworthy, and actionable information delivery.
• Designing AI-Aware Database Architectures for Enterprise ApplicationsJun 22, 2026. Design AI-aware database architectures for enterprise apps. Explore .NET strategies for semantic search, vector storage, and knowledge management.
• Hybrid Retrieval (BM25 + Vector + Reranking) with LangGraphJun 18, 2026. Build a Hybrid RAG pipeline with LangGraph: BM25 + Vector Search + Reranking for efficient, parallel retrieval.
• Building an Inventory & Order Management System in ASP.NET Core (Setup & Core Features) Part 1Jun 19, 2026. Build an ASP.NET Core Inventory & Order Management System. Part 1 covers project setup, core features like Product, Category, Supplier, and Customer CRUD.
• 📖 Building a Web-Based Timesheet Management System in ASP.NET CoreJun 19, 2026. Build a robust ASP.NET Core MVC timesheet system with SQL Server. Features include entry, allocation, approvals, auth, reporting & deployment.
• Building Internal AI Knowledge Hubs for Development TeamsJun 17, 2026. Build internal AI knowledge hubs for dev teams to boost productivity. Centralize docs, code, and tickets for instant, natural language answers.
• Building AI-Powered SQL Assistants with Semantic Kernel and .NETJun 16, 2026. Build AI-powered SQL assistants with Semantic Kernel and .NET to unlock data insights. Empower users with natural language queries and secure data access.
• Hybrid Retrieval in Azure AI Search: Combining Vector, Keyword, and Semantic RankingJun 16, 2026. Boost RAG accuracy with Azure AI Search's hybrid retrieval: combining vector, keyword, and semantic ranking for superior AI responses.
• How to Build an Internal Knowledge Assistant Using Azure AI Search and BlazorJun 16, 2026. Build an internal knowledge assistant with Azure AI Search & Blazor for efficient, AI-powered information retrieval and conversational access.
• Building AI-Powered API Documentation Assistants with .NETJun 16, 2026. Build AI-powered API documentation assistants with .NET, Azure AI Search, and Azure OpenAI for enhanced developer productivity and accessibility.
• How to Design AI-Friendly Database Schemas for Knowledge Retrieval SystemsJun 16, 2026. Optimize AI knowledge retrieval by designing AI-friendly database schemas. Learn best practices for chunking, metadata, embeddings, and security.
• Building AI-Powered Engineering Portals with ASP.NET Core and BlazorJun 16, 2026. Build AI-powered engineering portals with ASP.NET Core & Blazor. Centralize knowledge, boost productivity, and accelerate software delivery.
• From Search Results to Business Insights: Building AI Analytics AssistantsJun 16, 2026. Transform data into actionable insights with AI Analytics Assistants. Build them using .NET, Azure AI Search, and Azure OpenAI.
• How to Build Private Enterprise ChatGPT Solutions Using .NETJun 15, 2026. Build secure, private Enterprise ChatGPT solutions with .NET, Azure OpenAI, Semantic Kernel, and Azure AI Search for internal knowledge access.
• Building Internal AI Copilots for Engineering Teams: Architecture and Best PracticesJun 15, 2026. Build internal AI copilots for engineering teams using ASP.NET Core, Semantic Kernel, Azure OpenAI, and Azure AI Search for enhanced productivity.
• Using Azure AI Search Hybrid Retrieval for Better RAG PerformanceJun 15, 2026. Boost RAG performance with Azure AI Search Hybrid Retrieval. Combine keyword & vector search for better relevance, accuracy, and fewer hallucinations.
• Building AI-Powered Support Engineers with Azure OpenAI and ASP.NET CoreJun 15, 2026. Build AI-powered support engineers with ASP.NET Core, Azure OpenAI, and Azure AI Search for faster resolutions and reduced costs.
• Building AI-Powered Support Engineers with Azure OpenAI and ASP.NET CoreJun 15, 2026. Build AI-powered support engineers with ASP.NET Core, Azure OpenAI, and Azure AI Search for faster resolutions and reduced costs.
• Building Multi-Tenant AI Applications in ASP.NET CoreJun 15, 2026. Build secure, scalable multi-tenant AI apps in ASP.NET Core with Azure OpenAI, Semantic Kernel, and Azure AI Search.
• Using GraphRAG with Azure AI Search and .NET ApplicationsJun 15, 2026. Unlock enterprise AI with GraphRAG, Azure AI Search, and .NET. Enhance LLMs with knowledge graphs for deeper context and reasoning.
• How to Implement Semantic Caching in Production AI ApplicationsJun 15, 2026. Optimize AI apps with semantic caching. Reduce costs, boost speed, and improve scalability by understanding user intent, not just exact wording.
• Kiro as AI Partner for MS SQL Server Optimization on .NET Core: What Used to Take Days Now Takes HoursJun 14, 2026. Kiro optimizes MS SQL Server for .NET Core by analyzing code & queries, transforming days of work into hours. Learn how AI partners with developers.
• Beyond RAG: Modern Retrieval Pipeline Patterns for AI ApplicationsJun 12, 2026. Explore advanced AI retrieval pipelines beyond RAG: multi-stage, hybrid search, query transformation, knowledge graphs, and agentic workflows.
• Building Context-Aware Enterprise Search Applications with ASP.NET CoreJun 12, 2026. Build intelligent, context-aware enterprise search with ASP.NET Core, vector databases, and AI for enhanced productivity and knowledge discovery.
• Building AI-Powered Documentation Search Platforms for Engineering TeamsJun 12, 2026. Build AI-powered documentation search for engineering teams using ASP.NET Core. Overcome keyword search limitations with semantic search & LLMs.
• Knowledge Retrieval Architecture Patterns Beyond Vector DatabasesJun 12, 2026. Explore advanced knowledge retrieval patterns beyond vector databases for accurate, trustworthy AI systems. Learn hybrid search, KGs, SQL, multi-source, and agents.
• How to Build Conversational Knowledge Platforms with AI SearchJun 12, 2026. Unlock organizational knowledge with AI search. Build conversational platforms for natural language Q&A, boosting productivity and efficiency.
• Semantic Codebase Exploration: Finding Business Logic Faster with AI SearchJun 11, 2026. Unlock faster code discovery with AI-powered semantic search. Navigate complex codebases by meaning, not just keywords, to find business logic efficiently.
• Binary Searchable Count Count Binary Searchable Elements in an Unsorted ArrayJun 10, 2026. Discover which elements are discoverable via binary search on unsorted arrays. Learn the O(n) algorithm and its O(log n) space complexity.
• Building AI-Native APIs with ASP.NET Core and Natural Language InterfacesJun 10, 2026. Build AI-native APIs with ASP.NET Core. Leverage natural language, intent processing, and semantic search for intelligent applications.
• How to Implement Semantic Code Search in Enterprise .NET ApplicationsJun 10, 2026. Unlock efficient code discovery in .NET enterprise apps with semantic search. Understand intent, not just keywords, for faster development.
• Designing AI-Ready Data Models for Enterprise ApplicationsJun 10, 2026. Design AI-ready data models for enterprise .NET apps. Unlock AI potential with rich metadata, semantic relationships, and retrieval-optimized structures.
• Building Real-Time Knowledge Retrieval Systems with Azure AI SearchJun 10, 2026. Unlock enterprise knowledge with Azure AI Search. Build real-time, intelligent retrieval systems using semantic, vector, and hybrid search for RAG.
• Distributed Vector Databases: Architecture, Challenges, and Best PracticesJun 10, 2026. Explore distributed vector databases: architecture, challenges, and best practices for scalable AI retrieval systems and RAG.
• Knowledge Graphs for AI Applications: A Practical Guide for .NET DevelopersJun 10, 2026. Unlock AI potential with knowledge graphs for .NET developers. Master relationships, context, and reasoning for smarter applications.
• Semantic Reranking in Azure AI Search: A Complete Developer GuideJun 09, 2026. Unlock superior search relevance with Azure AI Search's semantic reranking. Understand intent, context, and meaning for better results.
• Vector Search vs Semantic Search: Key Differences for Modern ApplicationsJun 09, 2026. Explore Vector Search vs. Semantic Search: understand their core differences, strengths, and when to use each for modern AI applications.
• Building Enterprise Knowledge Bases with Azure AI Search and ASP.NET CoreJun 09, 2026. Build intelligent enterprise knowledge bases with Azure AI Search and ASP.NET Core. Enhance search relevance, productivity, and information access.
• Understanding Hybrid Search Architecture in AI-Powered ApplicationsJun 09, 2026. Hybrid search combines keyword and vector search for AI apps, improving accuracy and user experience. Essential for RAG.
• Implementing AI Memory Systems in C# Using Vector DatabasesJun 08, 2026. Learn how to implement AI memory systems in C# using vector databases. Discover embeddings, semantic search, memory architectures, and best practices for building intelligent AI applications.
• Building Secure Enterprise AI Assistants with Azure AI Foundry and .NETJun 08, 2026. Learn how to build secure enterprise AI assistants using Azure AI Foundry and .NET. Explore authentication, authorization, secure RAG, audit logging, compliance, and enterprise AI security best practices.
• Implementing Long-Term Memory in Enterprise AI Agents Using C#Jun 08, 2026. Learn how to implement long-term memory in enterprise AI agents using C#, vector databases, embeddings, and memory retrieval patterns to build intelligent and personalized AI solutions.
• Building AI-Powered Internal Developer Portals with .NET AspireJun 08, 2026. Learn how to build AI-powered Internal Developer Portals using .NET Aspire, RAG, AI assistants, semantic search, and cloud-native architectures to improve developer productivity.
• Find the Kth Smallest Element in a Sorted Matrix Using Binary Search on AnswerJun 08, 2026. A matrix search problem solved efficiently using binary search on value range and counting elements less than or equal to mid in O(n) time per step.
• Count Elements Within a Range Using Sorting and Binary SearchJun 06, 2026. Learn how to efficiently count array elements within given ranges using sorting and binary search. Includes intuition, lower bound and upper bound concepts, complexity analysis, and Java solution.
• Count Elements in a Given Range Using Sorting and Binary SearchJun 06, 2026. This problem involves finding the number of elements in an unsorted array that lie within a given range [a, b] for multiple queries. A naive approach would check each element for every query, resulting in high time complexity. A more efficient solution uses sorting and binary search: Sort the array to enable fast searching. For each query [a, b]: Use a lower bound search to find the first element = a. Use an upper bound search to find the first element > b. The difference between these indices gives the count of elements in the range. This approach significantly reduces time complexity to O(n log n + q log n) while keeping space usage minimal. It’s a classic example of combining sorting with binary search to handle range-based queries efficiently.
• Find a Peak Element in a 2D MatrixJun 06, 2026. This article explains how to find a peak element in a 2D matrix efficiently. A peak element is defined as an element that is greater than or equal to its four immediate neighbors (top, bottom, left, right). For edge and corner elements, missing neighbors are treated as negative infinity.
• Find the Kth Missing Positive Number Using Binary SearchJun 06, 2026. This article explains how to efficiently find the kth missing positive number in a sorted array. Using the insight that the number of missing numbers before an index i is arr[i] - (i+1), the problem can be solved with binary search, reducing time complexity from O(n + k) to O(log n). The article includes step-by-step examples and a clear Java implementation.
• Entity Framework Core Interceptors: Real-World Use Cases and ExamplesJun 05, 2026. Learn Entity Framework Core Interceptors with real-world examples. Implement auditing, soft deletes, SQL logging, and performance monitoring in EF Core applications.
• How to Build Retrieval-Augmented Generation (RAG) Applications in .NETJun 05, 2026. Learn how to build Retrieval-Augmented Generation (RAG) applications in .NET using ASP.NET Core, embeddings, vector databases, and large language models.
• SQL Server Performance Tuning Techniques for Modern ApplicationsJun 05, 2026. Learn SQL Server performance tuning techniques including indexing, query optimization, execution plans, statistics management, and database best practices.
• SQL Server Performance Tuning Techniques for Modern ApplicationsJun 05, 2026. Learn how to build scalable background services using .NET Worker Services. Process queues, run scheduled jobs, and create reliable cloud-native applications.
• Azure Managed Identity Explained with Real-World ExamplesJun 03, 2026. Learn Azure Managed Identity with real-world examples. Discover how to securely access Azure resources without storing passwords, secrets, or connection strings.
• SQL Join Optimization: Improve Query Performance on Large TablesJun 03, 2026. Learn SQL Join Optimization techniques to improve query performance on large tables using indexes, execution plans, filtering, and SQL Server best practices.
• Database Connection Pooling Explained with ExamplesJun 03, 2026. Learn Database Connection Pooling with practical examples. Understand how connection pools improve performance, scalability, and database efficiency.
• Implementing Row-Level Security in SQL ServerJun 03, 2026. Learn how to implement Row-Level Security in SQL Server. Secure data access, restrict rows by user, and simplify multi-tenant application security.
• Using the COPY INTO Command to Load Data from Fabric Lakehouse to Fabric WarehouseJun 01, 2026. In this article, I demonstrated how to use the COPY INTO Command to Load Data from Microsoft Fabric Lakehouse to Fabric Warehouse
• Why AI Search Is Replacing Traditional Search Faster Than ExpectedJun 01, 2026. AI search is rapidly evolving, offering faster, conversational answers and transforming how we find information. Learn how it's impacting SEO and the future of search.
• Google's AI Search Era: What Developers and Content Creators Should KnowJun 01, 2026. Navigate Google's AI search revolution! Learn how AI Overviews, conversational search, and semantic tech impact SEO, development, and content creation. Adapt now!
• How Developers Can Optimize Content for ChatGPT, Gemini, and AI Search EnginesJun 01, 2026. Learn how to optimize content for ChatGPT, Gemini, and AI search engines. Master GEO, semantic search, and user intent to boost visibility in AI-driven ecosystems.
• RAG Is Not Enough: Advanced Retrieval Architectures Developers Should KnowMay 29, 2026. Basic RAG isn't enough for enterprise AI! Discover advanced retrieval architectures like hybrid search, re-ranking, & graph retrieval to build scalable AI systems.
• How Developers Are Using Vector Databases Beyond RAG ApplicationsMay 29, 2026. Explore how vector databases transcend RAG, powering AI agents, recommendations, fraud detection, and more. Unlock semantic search and intelligent retrieval.
• Why Developers Are Replacing Traditional Search with AI ToolsMay 28, 2026. Discover why developers are ditching Google for AI tools like ChatGPT & Copilot! Learn how AI boosts productivity with faster, personalized coding solutions. Explore the future of developer search!
• LLMs.txt Explained: The Ultimate 2026 Guide to AI Search, GEO, AI Crawlers, and LLM OptimizationMay 22, 2026. Learn what LLMs.txt is, how it works, how to optimize websites for ChatGPT, Gemini, Claude, and Perplexity, and whether LLMs.txt actually improves AI visibility in 2026. Includes examples, templates, best practices, architecture, FAQs, and implementation strategies.
• SQL Injection: Complete Guide with Examples and Proper SolutionsMay 21, 2026. Master SQL Injection: Understand attack types, real-world examples, and robust solutions. Learn to protect your applications with best practices and secure code.
• Complete Guide to ASP.NET Core API SecurityMay 21, 2026. Comprehensive guide to ASP.NET Core API security, covering authentication, authorization, encryption, and best practices from beginner to advanced levels. Protect your APIs!
• Vector Databases Explained – Why They Are Important for AI ApplicationsMay 20, 2026. Unlock the power of AI with vector databases! Learn how they revolutionize semantic search, AI memory, and RAG, enabling intelligent applications. #AI #VectorDB
• What Was Announced at Google I/O and Why It Matters for AI DevelopersMay 19, 2026. Google I/O 2024 unveiled a major shift to AI-first development. Learn about Gemini, AI search, agents, and how to adapt to this rapidly evolving ecosystem.
• Count of repeating character patterns in a string using MySQLMay 13, 2026. Discover how to count repeating character patterns in strings using MySQL. This tutorial provides a step-by-step guide with code examples for text analysis and pattern recognition.
• How to Implement Cosine Similarity Using Embeddings in Python Step by StepMay 04, 2026. Master cosine similarity in Python using embeddings! Learn how to measure semantic similarity for AI applications like search and recommendations. Step-by-step guide.
• How to Implement Soft Delete in SQL Server Using Flag ColumnsMay 04, 2026. Implement soft delete in SQL Server using flag columns for data preservation, audit trails, and recovery. Learn best practices, advantages, and real-world use cases.
• What is Query Execution Plan in SQL Server and How to Analyze It?May 04, 2026. Unlock SQL Server query performance! Learn to analyze execution plans, identify bottlenecks like table scans, and optimize queries with indexes for faster, scalable databases.
• SQL Optimization TechniquesApr 28, 2026. SQL Optimization Techniques
• How to Check If a Stored Procedure Exists in SQL ServerApr 29, 2026. A comprehensive guide explaining how to check whether a stored procedure exists in SQL Server using multiple methods such as INFORMATION_SCHEMA, sys.procedures, OBJECT_ID, and SSMS UI. The article also highlights practical use cases, best practices, and common issues developers face while validating stored procedures across different environments like development and production.
• Number of BSTs From ArrayApr 27, 2026. Calculate the number of unique Binary Search Trees (BSTs) possible for each element in an array as the root. Leverages Catalan numbers for efficient computation.