$ loading_
Manage versioned golden datasets and evaluate RAG quality without API keys.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.nipunkhanderia/golden-dataset-mcp" MCP server from askskill: Run: claude mcp add 'io-github-nipunkhanderia-golden-dataset-mcp' -- npx -y golden-dataset-mcp
Help me design a golden dataset for evaluating a customer support knowledge base RAG system, including questions, reference answers, cited document snippets, scoring dimensions, and versioning recommendations.
A structured golden dataset schema, evaluation criteria, and version management plan.
Using the same golden question set, compare RAG system V1 and V2 on hit rate, answer accuracy, and citation consistency, then summarize regression cases.
A comparison report with metric differences and a list of regression cases.
Create a versioning policy for our RAG golden dataset, explaining when to add samples, revise answers, retire old samples, and record change reasons.
A clear dataset maintenance policy for continuous updates and evaluation traceability.
Access XAUUSD market data, technical analysis, backtesting, and trading risk tools.
Set up a local RAG server for private knowledge search and QA.
Access Kaggle competitions, datasets, notebooks, and models through one MCP tool.
Turn unstructured documents into a searchable knowledge base for AI agents.
Expose modular retrieval and reasoning tools to AI assistants through MCP.
Analyze cross-suite metrics, reports, and read-only insights across Golden Suite.