RagTune

github.com/metawake/ragtune AI Data & Analytics Open-source projectOpen source

RagTune helps inspect, debug, benchmark, and tune retrieval for retrieval augmented generation systems.

github.com/metawake/ragtune
RagTune homepage screenshot

About RagTune

RagTune helps inspect, debug, benchmark, and tune retrieval for retrieval augmented generation systems.

RagTune is an open-source project hosted on github.com, listed in our AI Data & Analytics collection. Because the code is public, you can read how it works, run your own copy or contribute improvements.

Not quite what you need? Close alternatives include Vearch, Open-RAG-Eval, and LLM Evaluation Metrics: Everything You Need for LLM Evaluation - Confident AI — compare them below.

RagTune at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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RagTune FAQ

What is RagTune?
RagTune helps inspect, debug, benchmark, and tune retrieval for retrieval augmented generation systems.
What is RagTune used for?
People use RagTune for developer tools, rag, and vector search, within our ai data & analytics category.
Is RagTune open source?
Yes. The source code is published at github.com/metawake/ragtune.
Is RagTune working?
github.com responded when checked on Oct 5, 2026. Its current availability has not been confirmed.
What are the best alternatives to RagTune?
Popular alternatives to RagTune include Vearch, Open-RAG-Eval, LLM Evaluation Metrics: Everything You Need for LLM Evaluation - Confident AI, and Giskard. We list 12+ options matched by topic, tags and features.
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