Library/AutoRAG
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Marker-Inc-Korea/AutoRAG

AutoRAG

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

Builder

Marker-Inc-Korea

Marker-Inc-Korea

Marker-Inc-Korea • individual

Stars

4,677

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Forks

387

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Jan 10, 2024

Project creation date

README Summary

AutoRAG is an open-source framework that automates the evaluation and optimization of Retrieval-Augmented Generation (RAG) systems using AutoML-style techniques. It helps developers and researchers systematically test, benchmark, and improve their RAG pipelines without manual hyperparameter tuning.

AI Dev Skills

Unmapped

Retrieval-Augmented GenerationAutoML Pipeline OptimizationInformation Retrieval SystemsVector Database ManagementHyperparameter OptimizationRAG Evaluation MetricsDocument Embedding StrategiesRetrieval Strategy OptimizationLanguage Model IntegrationAutomated Machine Learning

Tags

Retrieval-Augmented GenerationAutoML Pipeline OptimizationInformation Retrieval SystemsVector Database ManagementHyperparameter OptimizationRAG Evaluation MetricsDocument Embedding StrategiesRetrieval Strategy OptimizationLanguage Model IntegrationAutomated Machine Learning

Taxonomy

Recent Activity

Updated 1 months ago

7 Days

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30 Days

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90 Days

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Quality

beta
Quality
medium
Maturity
beta

Categories

Dev Tools & AutomationPrimaryRAG & RetrievalEvals & BenchmarkingML Platform & InfrastructureSearch & KnowledgeOther AI / ML

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created
Jan 10, 2024
Forked
Mar 29, 2026
Your last push
1 months ago
Upstream last push
9 days ago
Tracked since
Mar 10, 2026

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