Category: Python

  • How Search Works in Vector Databases โ€“ From โ€œTop Gunโ€ to โ€œMaverickโ€

    How Search Works in Vector Databases โ€“ From โ€œTop Gunโ€ to โ€œMaverickโ€

    โœ๏ธ ๐๐ฒ ๐€๐›๐ก๐ข๐ฌ๐ก๐ž๐ค ๐Š๐ฎ๐ฆ๐š๐ซ | #๐…๐ข๐ซ๐ฌ๐ญ๐‚๐ซ๐š๐ณ๐ฒ๐ƒ๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ ๐Ÿง  Why Do We Need Vector Databases? Traditional databases store structured data (rows & columns) and perform keyword or pattern matching.But AI systems donโ€™t think in keywords โ€” they think in meanings. For example: Thatโ€™s why modern AI systems like ChatGPT, RAG pipelines, and semantic search engines rely on…

  • IoT Sensors โ€“ The Eyes & Ears of Connected Intelligence

    IoT Sensors โ€“ The Eyes & Ears of Connected Intelligence

    โœ๏ธ ๐๐ฒ ๐€๐›๐ก๐ข๐ฌ๐ก๐ž๐ค ๐Š๐ฎ๐ฆ๐š๐ซ | #๐…๐ข๐ซ๐ฌ๐ญ๐‚๐ซ๐š๐ณ๐ฒ๐ƒ๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ ๐Ÿง  Introduction In todayโ€™s connected world, the Internet of Things (IoT) has become the digital nervous system of industries, cities, and homes.But what truly powers this intelligence are the IoT sensors โ€” the components that sense, measure, and translate physical reality into digital data. Think of IoT Sensors as…

  • Building an End-to-End Vector Search Pipeline with Azure + LangChain

    Building an End-to-End Vector Search Pipeline with Azure + LangChain

    โœ๏ธ ๐๐ฒ ๐€๐›๐ก๐ข๐ฌ๐ก๐ž๐ค ๐Š๐ฎ๐ฆ๐š๐ซ | #FirstCrazyDeveloper ๐Ÿ’ก Why This Matters More Than Ever Traditional keyword search engines match exact text terms but often fail to capture semantic meaning. For example, searching for โ€œlegal agreement terminationโ€ should also surface results mentioning โ€œcontract cancellationโ€, even if the exact words differ. This is where Vector Search shines. By…

  • Banned Pandas: Building Fast, Scalable Data Pipelines with DuckDB + SQL on Azure

    Banned Pandas: Building Fast, Scalable Data Pipelines with DuckDB + SQL on Azure

    โœ๏ธ By Abhishek Kumar | #FirstCrazyDeveloper ๐Ÿง  Why This Change Matters Our data pipelines were fast โ€” until they werenโ€™t.Large joins started crashing memory, inconsistent datetime types caused nightly job failures, and debugging hidden Python logic in Jupyter notebooks became a nightmare. So, we did something radical. We banned pandas.Every transformation now runs in DuckDB,…

  • Microservices Patterns: The Blueprint for Scalable and Resilient Systems

    Microservices Patterns: The Blueprint for Scalable and Resilient Systems

    โœ๏ธ By Abhishek Kumar | #firstcrazydeveloper Microservices Architecture Leads to Chaos โ€” Unless Designed Right Microservices are like independent puzzle pieces of a large system โ€” each one performs a specific task, communicates through well-defined APIs, and can be deployed independently. When done right, microservices enable rapid scaling, continuous delivery, and fault isolation. But when…

  • Event-Driven Agentic Architecture: From Events to Intelligence

    Event-Driven Agentic Architecture: From Events to Intelligence

    โœ๏ธ By Abhishek Kumar | #FirstCrazyDeveloper In todayโ€™s world of intelligent automation and AI-driven operations, event-driven agentic systems are becoming the architectural backbone for enterprises integrating AI, microservices, and human workflows. These systems are not just reactiveโ€”they are autonomous, adaptive, and context-aware, capable of executing tasks intelligently across diverse environments. This blog explores the transformative…

  • Top AI Language Models in Action: Real-World Examples with Python & C#

    Top AI Language Models in Action: Real-World Examples with Python & C#

    โœ๏ธ By Abhishek Kumar | #FirstCrazyDeveloper Artificial Intelligence has rapidly evolved over the last decade, and Large Language Models (LLMs) have become the core drivers of this revolution. From OpenAIโ€™s GPT family to Metaโ€™s LLaMA, Anthropicโ€™s Claude, Googleโ€™s Gemini, and more โ€” each ecosystem brings unique capabilities tailored for developers, researchers, and enterprises. In this…