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The Bloom Filter
4+ hour, 21+ min ago (710+ words) You may never have heard of a Bloom Filter, but this ingenious algorithm is used in Google's Big Table database to avoid wasting time fruitlessly searching for data that isn't there. The algorithm invented in 1970 by Burton Bloom is very…...
The Death of the Embedding: Why Vector-less RAG is the Future of Complex Retrieval
3+ hour, 57+ min ago (245+ words) How the industry quietly abandoned geometry for logic, and why your next RAG system might not need a vector database " The Death of the Embedding: Why Vector-less RAG is the Future of Complex Retrieval How the industry quietly abandoned geometry…...
Introduction to SQL: DDL, DML, and Querying Data
8+ hour, 54+ min ago (416+ words) As a beginner database administrator, my first assignment was to build a school database for Nairobi Academy from scratch. At first this seemed impossible, especially since I had repeated cases of errors in my queries the whole week. But I…...
The "The Architecture Handbook for Milvus Vector Database" Book Review
5+ hour, 6+ min ago (426+ words) A feedback and my thoughts on the "The Architecture Handbook for Milvus Vector Database" book. The image from the book cover produced by Packt Publications Chapter 1: Introduction to Milvus " This chapter sets the stage by defining vector databases and explaining…...
Entity mapping in depth: attributes, types, and nullable fields
5+ hour, 6+ min ago (401+ words) In the previous article we created a simple entity and performed CRUD operations. Now let's look at how entity mapping actually works under the hood, and how to handle more realistic scenarios like nullable fields and optimistic locking. Every Trysil…...
Understanding SQL Basics: DDL, DML, Filtering, and Data Transformation
11+ hour, 54+ min ago (671+ words) This week I was focused on building a solid foundation in SQL by working with student, subject, and exam result data. Along the way, I explored key concepts like DDL, DML, filtering using WHERE, and transforming data using CASE WHEN....
[Me Do Hackethon Project] Dual Search, better search
18+ hour, 55+ min ago (103+ words) Dual Search packs two ways of acquiring information into one minimalist interface. Think of it as a search box with a split personality. Both modes share the same simple input bar, switching with a single click. Behind the scenes, it's…...
Blind SQL Injection: From Conditional Responses to Out-of-Band Exfiltration
1+ day, 2+ hour ago (1690+ words) A practical walkthrough of SQL injection techniques, from basic data extraction to advanced blind exploitation. I'm currently doing an offensive security internship, working through Port Swigger's Web Security Academy to sharpen my web application testing skills. SQL injection was the…...
How We Made Next. js ISR Page Cache Efficient with Redis
21+ hour, 51+ min ago (829+ words) Next. js ISR works great on a single pod. But the moment you scale to multiple replicas " whether on Kubernetes, ECS, Cloud Foundry, or any orchestrator " you get a hidden efficiency problem: every pod independently regenerates the same pages, writes…...
Filtered Vector Search in pgvector: Why WHERE Clauses Break Similarity Queries
1+ day, 1+ hour ago (500+ words) Understanding this tension is the key to building filtered vector search that actually performs. An HNSW index navigates a layered graph structure to locate the nearest neighbors to your query vector. It returns the top candidates based on vector distance…...