NMNahid Mahmudinnahid-mahmud555.hashnode.dev·5d ago · 2 min readBuilding a Production-Grade Document Parsing Pipeline: From Concept to ExecutionIn the world of generative AI and retrieval systems, most Large Language Model applications fail not due to model limitations, but because of poor data quality at the ingestion stage. As the classic e20
MMaverickinjyanshu.hashnode.dev·6d ago · 14 min readAPI vs MCP: Interoperability Trade-offs for AI SystemsThe Core Question When building agentic AI systems, one of the earliest architectural decisions you'll face is: How do my agents and LLMs talk to the outside world — through REST APIs, or through MCP01C
MMaverickinjyanshu.hashnode.dev·6d ago · 11 min readModel Context Protocol (MCP)The open standard that gives AI agents a universal plug for the world's tools. What Problem Does MCP Solve? Before MCP, building an AI agent that could use external tools looked like this: Every ne00
AÖAhmet Özelinahmetozel.hashnode.dev·Jul 16 · 40 min readBuilding a Local-First OCR + LLM Pipeline for Structured Business DocumentsTurning a scanned business document into reliable structured data is not a single-model problem. Optical character recognition is only one stage in a longer system that must handle image quality, page12M
MMaverickinjyanshu.hashnode.dev·Jul 13 · 13 min readVector EmbeddingsHow AI Learned to Understand the Meaning Behind Words Who is this for? You don't need to know any math, code, or machine learning. If you've ever used Google Search, gotten a Netflix recommendation,00
EEveindispatch-blog.hashnode.dev·Jul 13 · 7 min readI Locked Down My MCP Server After the Internet Found ItA few weeks ago, I wrote about how I exposed my MCP server to the internet without thinking about security. The feedback was brutal — and deserved. People pointed out everything from missing authentic00
AVAnandhi Vasudevaninzero-to-llm.hashnode.dev·Jun 8 · 10 min readZero to LLM — Article 01: Why You Need Math and Python Before You Touch a TransformerSeries: Zero to LLM | Stage: 1 — Foundations | Topic: Introduction & Series Roadmap Who This Series Is For You've heard of GPT. You've used Claude. You've watched the demos. And somewhere between am20
HAHardik Arorainhardik0811arora.hashnode.dev·Apr 21 · 4 min read🦙 Building a Kubernetes-Hosted AI Chatbot with Ollama + FastAPI (From Broken to Working)Introduction This project started as a simple idea: “Lets Run a local AI chatbot on Kubernetes without external APIs.” What followed was a full DevOps journey—misconfigurations, WebSocket failures, 11A
NRNabil Ridhwaninblog.nabilridhwan.com·Feb 15 · 10 min readBuilding a RAG System with ChromaDB: Why My Embeddings Failed (And How I Fixed It)Author’s Note I’ve been gone for long. I’ve been serving my nation (National Service) and have been using the time to relax, learn different skills and upgrading myself in different ways. Unexpectedly, I also went full-on into my other hobby… Playing...00
MMMaithri Medainmaithri.hashnode.dev·Feb 14 · 5 min readPageIndex RAG: A Smarter Way to Do Retrieval for Long DocumentsYou built a Retrieval Augmented Generation (RAG) system. It works beautifully on small documents. Answers are grounded, citations look clean, and latency is reasonable. Then someone uploads a 300 page PDF. Suddenly: Answers mix unrelated sections C...00
