Halgorithem – Catching AI Hallucinations Using Trees, No AI in Pipeline

What it does

Halgorithem (codename CORE — Claim-Oriented Recognition Engine) is a deterministic hallucination detection library for checking AI output against trusted source material. It extracts factual claims from AI-generated text, retrieves the closest evidence from your documents, and labels each claim as supported, weakly supported, contradicted, hallucinated, or an unverifiable denial. Verification is meaning-based by default, using sentence-transformer embeddings to match paraphrases, with deterministic guardrails for names, numbers, dates, units, negation, and source qualifiers. Full API reference, design notes, and usage examples can be found in the docs . The output schema, verdict…from github.com

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