Open Source · RAG
RagTune
EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer
Our verdict
We have not reviewed RagTune yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About RagTune
RagTune is an open source observability tool for RAG retrieval layers. It provides EXPLAIN ANALYZE style inspection, debugging, benchmarking, and tuning of retrieval steps. Written in Go, it runs as a command line tool that hooks into retrieval pipelines.
Best for
Developers building and debugging custom RAG systems who want fine grained retrieval layer metrics
Use cases
- Debug why a specific retrieval failed or returned low relevance
- Benchmark retrieval latency and success rate across queries
- Tune chunking, embedding, or retriever parameters based on metrics
Notes
12 stars on GitHub. Last updated 2026-03-25. Licensed MIT.
Pros
- Fills a specific gap in RAG debugging and observability
- Lightweight Go binary with no heavy dependencies
- Open source with MIT license (community friendly)
Cons
- Very limited community adoption (12 stars on GitHub)
- No GUI or web dashboard, only CLI output
- May require manual integration into existing RAG pipelines
Key facts
What we have checked
- GitHub stars
- 13
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How RagTune is growing
12 to 13
Sources
Where this comes from
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
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