3,457 2 months ago

A local evaluator for retrieval-augmented generation (RAG) answers.

tools 1b 3b
ollama run erukude/rag-audit-judge:1b

Applications

Claude Code
Claude Code ollama launch claude --model erukude/rag-audit-judge:1b
OpenCode
OpenCode ollama launch opencode --model erukude/rag-audit-judge:1b
Hermes Agent
Hermes Agent ollama launch hermes --model erukude/rag-audit-judge:1b
OpenClaw
OpenClaw ollama launch openclaw --model erukude/rag-audit-judge:1b

Models

View all →

Readme

RAG Audit Judge

Base model: Llama3.2.

It checks:

  • Is the answer grounded in the supplied context?
  • Is reasoning unsupported?
  • Are citations missing or invalid?
  • Is the response overconfident?
  • Is sensitive information exposed?

It returns one JSON object:

{
  "groundedness_score": 0.82,
  "hallucination_risk": "low",
  "citation_quality": "medium",
  "issues": [],
  "recommended_fix": ""
}

Provide a question, retrieved context entries with stable source IDs, and the candidate answer. The judge evaluates only the supplied context, not outside knowledge.

Example user input:

Question: Can I return a headset?

Context:
- id: refund-policy
  text: Headsets can be returned within 30 days if they are unopened.

Candidate answer:
An unopened headset can be returned within 30 days, and a $5 restocking fee always applies [refund-policy].

Author

Author: Sai Teja Erukude
Role: Developer & Maintainer