Lightweight, extensible Node.js library for evaluating Retrieval-Augmented Generation (RAG) systems

Genkit AI framework plugin for RAG evaluation.

TypeScript RAG pipeline evaluation library — the RAGAS equivalent for Node.js. Evaluate answer faithfulness, context relevance, answer relevance, context recall, and context precision.

RAGAS-style RAG evaluation metrics for TypeScript — faithfulness, answer relevancy, context precision & recall. Provider-agnostic, zero required runtime dependencies.

Lightweight, extensible Node.js library for evaluating Retrieval-Augmented Generation (RAG) systems

Tools and utilities for a generic representation of scales, chords, progressions etc. for use in music software, music related web & mobile apps, VST/VCV plugins and Max for Live devices.

Zero-dependency, harmony-led generative music engine for the browser — endless, seamlessly-looping multi-instrument background music, synthesized via the Web Audio API.

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Evaluation CLI for AI Observability on Dynatrace

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Testing utilities, mock providers, fixtures, and eval framework for ElsiumAI

Reusable MCP server + Chinese RAG pipeline toolkit (factory + Tool builder + error envelope + eval framework) for building internal and third-party MCP servers in TypeScript.

MCP server for PQS — score and optimize prompts before sending them to expensive LLMs. Free tier: 100 scores/month, no API key. Pro: $19.99/mo for prompt optimization with before/after outputs.

Reliability and audit-ready testing for LLM agents. Use when you need an AI agent to behave consistently and cite its sources, especially in regulated or high-stakes domains.

Terrain test intelligence CLI.

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Evaluation and testing for OrkaJS - metrics, assertions, reporters

CLI, SDK, and MCP foundation for an open-source AI benchmark aggregator and wrapper.

Deterministic confidence scorecards for RAG systems with signal policy, calibration, evaluator bridges, and index integrity