ragscore
The Fastest Way to Audit Your RAG - Generate QA datasets & evaluate RAG systems in Colab, Jupyter, or CLI. Privacy-first, any LLM, visual reports.
Overview
5 featuresIn the LLM evaluation & benchmarks space, ragscore takes a focused approach. It focuses on evaluating and auditing the performance of RAG systems is complex and time-consuming. ragscore is an open-source project aimed at AI researchers and developers working with RAG systems. ragscore is open source under the Apache-2.0 license. It ships for the web and the command line.
It is developed by HZYAI, and it first shipped in 2025. The project is developed in the open on GitHub with 32 stars and 20 commits in the last 90 days. Among its 5 catalogued features are RAG evaluation, QA dataset generation, and visual reports. It exposes integrations via an MCP server.
- RAG evaluation
- QA dataset generation
- Visual reports
- Jupyter/Colab support
- Privacy-first
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about ragscore
- What does ragscore do?
- Ragscore focuses on evaluating and auditing the performance of RAG systems is complex and time-consuming. It is catalogued under LLM evaluation & benchmarks on PulseGate.
- Who is ragscore for?
- ragscore is an open-source project built for AI researchers and developers working with RAG systems.
- Is ragscore free?
- Yes — ragscore is open source under the Apache-2.0 license and free to use.
- What platforms does ragscore run on?
- ragscore runs on the web and the command line.
- Is ragscore still active?
- The GitHub repository shows 20 commits in the last 90 days.
- What are alternatives to ragscore?
- Similar projects tracked by PulseGate include ragdata, ragbits-evaluate, and rag-harness.ragdataragbits-evaluaterag-harness
- Who makes ragscore?
- ragscore is developed by HZYAI.
- How long has ragscore been around?
- ragscore first shipped in 2025.
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