RagTune

Overview

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

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

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.

12 stars on GitHub. Last updated 2026-03-25. Licensed MIT.

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

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

Indexed from awesome-llmops and enriched against its public facts.