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Umeshkumar Pal
Umeshkumar Pal

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How I Built an AI Search Engine That Refuses to Hallucinate

OUTLINE:

Intro: The moment my chatbot told a user to factory-reset their device for a password issue

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

NidhiTek - Nerqon Pro | The AI Search Engine That Knows When It Doesn't Know

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.

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