RAGScore generates question-answer datasets and evaluates Retrieval-Augmented Generation (RAG) systems using a simple command-line interface or Python API.
From the registry: Generate QA datasets & evaluate RAG systems. Privacy-first, any LLM, local or cloud.
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OPENAI_API_KEYrequiredAPI key for accessing OpenAI services.RAGSCORE_CHUNK_SIZEChunk size for documents.RAGSCORE_QUESTIONS_PER_CHUNKNumber of QAs per chunk.RAGSCORE_WORK_DIRWorking directory.RAGSCORE_NO_TELEMETRYOpt out of telemetry collection.AI Agents Framework with Self Reflection and MCP support