GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
60views this month
Decision brief
Ragtune is a command-line tool for evaluating and optimizing retrieval-augmented generation systems, supporting various vector databases and embedding models.
Good fit when
- When you need to inspect, debug, benchmark, and tune the retrieval layer of your RAG systems specifically.
- If you are working with vector databases like Chroma, PGVector, Pinecone, Qdrant, or Weaviate and require a tool to optimize retrieval performance.
Avoid when
- If your project does not involve retrieval-augmented generation systems or if you are not using supported vector databases.
- When you prefer a tool that is not written in Go or does not offer command-line interface capabilities.
- Pricing:
- freemium - Free and open-source under the MIT License.
- Requirements:
- Min 2 GB RAM; Go installation is required to use Ragtune.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (176d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 18, 2026
- Security (OSV)
- 75 low (75 low)
- As of Sep 18, 2026
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
Ragtune is a command-line tool for evaluating and optimizing retrieval-augmented generation systems, supporting various vector databases and embedding models.
Capability facts
- Languages
- go
Source: github.language · Sep 18, 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.