ragtune
Benchmarking tool for RAG retrieval, aiding in tuning and evaluating retrieval layers
GraphCanon updated 2w · GitHub synced 2w
Decision brief
Ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer.
Good fit when
- For organizations using multiple vector search engines like Chroma or Pinecone because Ragtune supports them directly.
- When working in an environment where development is primarily done with Go.
Avoid when
- If your project relies on languages other than Go, as Ragtune might not integrate smoothly without additional effort.
- When the primary focus of retrieval layer tuning lies outside supported vector search engines like Chroma or Qdrant and no customization can be applied via the tool.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (129d since push)
- As of 2w
- Provenance
- Not a fork · Personal account
- As of 2w
- Security (OSV)
- 62 low (62 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/metawake/ragtuneSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides functionality for inspection, debugging, benchmarking, and tuning retrieval layer in RAG systems
Capability facts
- Languages
- go
Source: github.language · Aug 2, 2026
Categories
Tags
README
Go Install
go install github.com/metawake/ragtune/cmd/ragtune@latest
For agents
This page has a .md twin and JSON over the API.