Evaluating AI-generated answers isn’t optional anymore. When agents power customer support, compliance checks, or internal knowledge tools, organizations must be able to prove their responses are accurate, relevant, and evidence‑grounded not just “good enough.”

That’s where the Odyssey AI Question‑Answer Evaluator (QA Evaluator) comes in. Built by Inteligems, this web‑based tool automates large‑scale evaluation of question–answer pairs or standalone prompts using Odyssey AI agents. It applies a weighted multi‑criteria scoring framework with 14 detailed subchecks, delivering transparent, data‑backed insight into model quality.

What the Odyssey AI QA Evaluator Does

Odyssey AI's QA Evaluator transforms manual, subjective QA review into structured, repeatable analysis.

It:

• Ingests Excel or CSV files containing questions, expected answers, and optional metadata.
• Calls your OdysseyAI agents (production or staging) to generate responses at scale.
• Applies an LLM‑as‑a‑judge validation framework hosted on Groq to score results.
• Outputs comprehensive evidence packs Excel files enriched with explanations, subcheck scores, and visual analytics.

This means every evaluation produces verifiable proof of quality rather than anecdotal judgment.

Who It’s For

Different teams rely on the QA Evaluator for complementary reasons:

• QA & Testing: Validate accuracy and completeness using quantitative metrics instead of ad‑hoc reviews.
• Product Management: Compare agent versions, detect regressions, and justify deployment choices.
• Customer Success: Monitor knowledge‑base quality and identify where model fine‑tuning matters most.
• Non‑Technical Teams: Run full evaluations no code required with intuitive dashboards and simple uploads.

The Simple Three‑Step Workflow

1. Upload Your Excel File
   Prepare a spreadsheet with questions, expected answers, and optional columns for categories or parameters. Upload it and preview before running tests.
2. Automatic Evaluation
   The evaluator sends each prompt to your Odyssey AI agent. Using the 14‑point validation framework, it scores accuracy, relevance, completeness, clarity, nuance, and evidence quality in real time with progress indicators and completion metrics visible throughout.
3. Export Enriched Results
   Download a detailed Excel report containing:
   • All original data and model outputs.
   • Overall and per‑dimension scores (0–100 or 1–5 scale).
   • Explanations for every pass/fail result.
     These “evidence packs” are audit‑ready artifacts that can be shared directly in compliance reviews or model documentation.

How Scoring Works: Two Modes

Comparison Mode:
When you have ground‑truth answers, this mode compares the AI’s response to that truth and produces a Contextual Relevance Accuracy (CRA) score across accuracy, relevance, and completeness dimensions ideal for regression testing or A/B evaluations.

Criteria Mode:
When no reference answer exists, Criteria Mode evaluates open‑ended responses by five high‑level metrics such as faithfulness, clarity, nuance, and entity alignment perfect for exploratory use cases and early‑stage prototypes.

Six Weighted Quality Dimensions

The QA Evaluator organizes 14 sub checks into six weighted categories:

Together, these produce a balanced evaluation that tracks the true quality of your AI outputs beyond surface correctness.

Core Capabilities

• Batch Evaluation: Process hundreds of Q&A pairs in minutes.
• 14‑Point Multi‑Criteria Framework: Evaluate accuracy, relevance, completeness, and more.
• Odyssey AI Agent Integration: Works across all Odyssey AI configurations (parameter‑ and message‑based).
• Dual Environments: Run tests seamlessly on production or staging.
• Real‑Time Tracking: See evaluation progress and completion in live dashboards.
• Visual Analytics: Identify performance patterns and drift trends using built‑in charts.
• Enriched Excel Exports: Download evidence with scores, rationales, and improvement recommendations.
• Zero‑Setup Executable or API Integration: Run instantly or connect directly to your data pipelines.

Beyond Scores: Audit Reporting and RLHF Feedback

Odyssey AI’s QA Evaluator goes further than static scoring. It supports audit report generation, feedback ingestion, and RLHF‑aligned training loops.

Evaluations and user interactions thumbs up/down, session history, timestamps feed into analytics pipelines that surface recurring quality gaps. Future updates will merge these audit logs directly into the main dashboard for continuous improvement tracking and model reward tuning.

Video Walkthrough: “Evaluator in Action”

Want to see the system live?

• Upload sample Q&A datasets.
• Run batch evaluations via Odyssey AI agents.
• Review dimensional scoring.
• Inspect pass/fail rationales.
• Export the final Excel report.

Why Odyssey AI QA Evaluator Stands Apart

Compared with frameworks like RAGAS, Vertex AI’s LLM Comparator, or Confident AI’s G‑Eval, Odyssey AI’s solution combines the benefits of multi‑mode scoring, Groq‑based performance, and governance‑ready evidence tracking all within the Odyssey platform.

It’s designed not just for benchmarking but for continuous assurance evaluating, improving, and defending deployed AI models with the same rigor as software QA.

Getting Started

Choose how to begin:

1. Download the Executable – Run locally without configuration or dependencies.

2. Use the Hosted App – Evaluate securely via the Odyssey AI web interface.

3. Clone the Open‑Source Repo – Integrate directly with your QA pipelines and Groq keys.

Start Evaluating →

From “Seems Fine” to “Defensibly Good”

Most AI reviews stop at “that looks right.”

The Odyssey AI QA Evaluator goes further offering measurable, explainable evidence that your AI responses are accurate, contextual, and production‑ready.

When you need traceability, confidence, and speed in one place, this is how to turn quality from a guess into proof.