HallucinationBuster – AI research tool with user-controlled trusted sources

Summary: HallucinationBuster reduces AI citation errors by searching verified academic databases and letting users select trusted publishers and years before AI processes the data. It uses AI for topic clustering, relevance scoring, and retrieval-augmented generation (RAG) chat based solely on approved papers with clickable DOIs.

What it does

It queries over 200 million academic papers, allows filtering by publisher and publication year, then applies AI to analyze only the user-approved subset for research insights and chat interactions.

Who it's for

Researchers and academics seeking accurate literature reviews and verified citations without AI hallucinations.

Why it matters

It addresses the widespread problem of fabricated or erroneous AI-generated academic citations by ensuring AI processes only vetted, real sources.