<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: Umeshkumar Pal</title>
    <description>The latest articles on DEV Community by Umeshkumar Pal (@umeshkumar_pal_58d8482aca).</description>
    <link>https://dev.to/umeshkumar_pal_58d8482aca</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3888433%2F4970c43e-1159-4adf-a530-90c5a50f1e54.png</url>
      <title>DEV Community: Umeshkumar Pal</title>
      <link>https://dev.to/umeshkumar_pal_58d8482aca</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/umeshkumar_pal_58d8482aca"/>
    <language>en</language>
    <item>
      <title>How I Built an AI Search Engine That Refuses to Hallucinate</title>
      <dc:creator>Umeshkumar Pal</dc:creator>
      <pubDate>Mon, 20 Apr 2026 07:31:51 +0000</pubDate>
      <link>https://dev.to/umeshkumar_pal_58d8482aca/how-i-built-an-ai-search-engine-that-refuses-to-hallucinate-5h8f</link>
      <guid>https://dev.to/umeshkumar_pal_58d8482aca/how-i-built-an-ai-search-engine-that-refuses-to-hallucinate-5h8f</guid>
      <description>&lt;p&gt;OUTLINE:&lt;/p&gt;

&lt;p&gt;Intro: The moment my chatbot told a user to factory-reset their device for a password issue&lt;/p&gt;

&lt;p&gt;Section 1: Why vector databases alone fail (the cosine similarity trap)&lt;br&gt;
Section 2: The tri-source approach — FAISS + Knowledge Graph + BM25&lt;br&gt;
Section 3: Reciprocal Rank Fusion explained simply&lt;br&gt;
Section 4: How the “I don’t know” detection works (confidence thresholding)&lt;br&gt;
Section 5: Real benchmark results + how to reproduce them&lt;br&gt;
Section 6: Python code walkthrough (5–6 code snippets)&lt;br&gt;
Conclusion: Why honest AI search matters + free trial CTA&lt;/p&gt;


&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
        &lt;div class="c-embed__cover"&gt;
          &lt;a href="https://nidhitek.com/" class="c-link align-middle" rel="noopener noreferrer"&gt;
            &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fnidhitek.com%2Fnidhitek_logo.png" height="299" class="m-0" width="261"&gt;
          &lt;/a&gt;
        &lt;/div&gt;
      &lt;div class="c-embed__body"&gt;
        &lt;h2 class="fs-xl lh-tight"&gt;
          &lt;a href="https://nidhitek.com/" rel="noopener noreferrer" class="c-link"&gt;
            NidhiTek - Nerqon Pro | The AI Search Engine That Knows When It Doesn't Know
          &lt;/a&gt;
        &lt;/h2&gt;
          &lt;p class="truncate-at-3"&gt;
            The AI search engine with built-in humility. Hybrid tri-source search combining FAISS vectors, Knowledge Graphs, and BM25. Contradiction detection, confidence scoring, and 'I don't know' fallback. Free 15-day trial.
          &lt;/p&gt;
        &lt;div class="color-secondary fs-s flex items-center"&gt;
            &lt;img alt="favicon" class="c-embed__favicon m-0 mr-2 radius-0" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fnidhitek.com%2Ffavicon_io%2Ffavicon-32x32.png" width="32" height="32"&gt;
          nidhitek.com
        &lt;/div&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;


</description>
      <category>ai</category>
      <category>rag</category>
      <category>productivity</category>
      <category>machinelearning</category>
    </item>
  </channel>
</rss>
