{"version":"1.0","provider_name":"DATA DO - \u30c7\u30fc\u30bf \u9053","provider_url":"https:\/\/datascientists.info","author_name":"Marc Matt","author_url":"https:\/\/datascientists.info\/index.php\/author\/marc\/","title":"Production Metric: 14.2% Semantic Decay - DATA DO - \u30c7\u30fc\u30bf \u9053","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"PS1ZIGK8hq\"><a href=\"https:\/\/datascientists.info\/index.php\/2026\/05\/06\/production-metric-14-2-semantic-decay\/\">Production Metric: 14.2% Semantic Decay<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/datascientists.info\/index.php\/2026\/05\/06\/production-metric-14-2-semantic-decay\/embed\/#?secret=PS1ZIGK8hq\" width=\"600\" height=\"338\" title=\"&#8220;Production Metric: 14.2% Semantic Decay&#8221; &#8212; DATA DO - \u30c7\u30fc\u30bf \u9053\" data-secret=\"PS1ZIGK8hq\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/datascientists.info\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Stop semantic silent failures in your RAG pipeline. Learn how to architect deterministic AI Quality Gates using PydanticAI, vLLM, and pgvector to filter unstructured data noise before it poisons your embeddings.","thumbnail_url":"https:\/\/datascientists.info\/wp-content\/uploads\/2026\/04\/image-3.png"}