Code & Development · GitHub ·11 ★

ragtune

EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer

Details

Author
metawake
Category
Code & Development
Platform
GitHub
Framework
custom
Language
go
Stars
11
First indexed
2026-05-15
Last active
2026-03-25
Directory sync
2026-05-15

Overview

EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer

Quick start

git

git clone https://github.com/metawake/ragtune

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What ragtune can do

  • Hr — Handles people operations such as hiring and policy Q&A.
  • Debug — debug task automation.
  • Embedding — Computes vector embeddings for semantic search.
  • Rag — Retrieves grounded context before answering.
  • Analy — analy task automation.

Frequently asked questions

What is ragtune?
EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer
How do I install ragtune?
Use git: `git clone https://github.com/metawake/ragtune`. Full setup details on the source page linked above.
Is ragtune open source?
ragtune is published on GitHub.
What are alternatives to ragtune?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for ragtune is sourced from GitHub, published by metawake.

Last scraped: · First indexed:

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