Ariadne is a production-grade, proof-grounded web information retrieval agent. Most LLM-based web agents suffer from a critical flaw: they hallucinate. When they cannot find an answer, they guess, leaving users with confident but fabricated lies. Ariadne solves this using a strict "Proof or Silence" architecture.
When given a starting URL and a natural language question, Ariadne navigates the website using information-scent scoring. It extracts candidate answers using a three-tier pipeline: deterministic schema.org JSON-LD parsing, LLM-based reading comprehension (via the Gemini API), and a conservative rule-based fallback.
Crucially, Ariadne is built with generator-verifier separation. The LLM that extracts the answer is never allowed to declare it correct. An independent Verifier enforces a strict verbatim-quote gate (the quote must exist exactly in the fetched HTML), an attribute-attachment gate, and an independent entailment check. If any gate fails, the agent explicitly returns "not_found".
Every successful query returns a "proof object" containing the answer, the exact source quote, the URL, and a SHA-256 content hash, ensuring 100% auditability. If no proof exists, it refuses to guess.
Engineered for hostile web environments, Ariadne includes SSRF guards to block private IP fetching, NFC Unicode normalization for international text matching, and strict body-size limits to prevent DOM/resource exhaustion. Packaged on the mandated ROCm base image, Ariadne leverages GPU-accelerated inference via Gemini, ensuring rapid, deterministic, and hallucination-free retrieval that enterprise applications can actually trust.
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