AU

Marker-Inc-Korea/AutoRAG

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

4.7k 389 -1/wk
GitHub
analysis automl benchmarking document-parser embeddings evaluation llm llm-evaluation llm-ops open-source ops optimization
Trend 3

Star & Fork Trend (40 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

Marker-Inc-Korea/AutoRAG has -1 stars this period . 7-day velocity: 0.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric AutoRAG Learn_Prompting osaurus text-embeddings-inference
Stars 4.7k 4.7k4.7k4.7k
Forks 389 662221378
Weekly Growth -1 -1+68+5
Language Python MDXSwiftRust
Sources 1 111
License Apache-2.0 NOASSERTIONMITApache-2.0

Capability Radar vs Learn_Prompting

AutoRAG
Learn_Prompting
Maintenance Activity 100

Last code push 4 days ago.

Community Engagement 42

Fork-to-star ratio: 8.3%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.