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
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