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AutoRAG agent by Marker Inc Korea
⭐ 9
Agent

AutoRAG

by Marker Inc Korea ID: gh-agent--marker-inc-korea--autorag
FNI Rank 9
Percentile Top 13%
Activity
β†’ 0.0%

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

View Source Code β†’
Logic Audit 9 FNI Score
- Tools
Python Language
4.6K Stars
Community Capability
Agent Information Summary
Entity Passport
Registry ID gh-agent--marker-inc-korea--autorag
Provider github

πŸ•ΈοΈ Neural Mesh Hub

Interconnecting Research, Data & Ecosystem

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πŸ”— Core Ecosystem

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Intelligence Hive

Multi-source Relation Matrix

Live Index
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Momentum Index

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Contextual Anchors

analysis automl benchmarking document-parser evaluation llm llm-evaluation llm-ops open-source ops optimization pipeline
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Cite this agent

Academic & Research Attribution

BibTeX 
@misc{gh_agent__marker_inc_korea__autorag,
  author = {Marker Inc Korea},
  title = {AutoRAG Agent},
  year = {2026},
  howpublished = {\url{https://github.com/Marker-Inc-Korea/AutoRAG}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Marker Inc Korea. (2026). AutoRAG [Agent]. Free2AITools. https://github.com/Marker-Inc-Korea/AutoRAG

πŸ”¬Technical Deep Dive

Full Specifications [+]

⚑ Quick Commands

πŸ™ GitHub Clone
git clone https://github.com/Marker-Inc-Korea/AutoRAG
🐍 PIP Install
pip install autorag

βš–οΈ Free2AI Nexus Index

Methodology β†’ πŸ“˜ What is FNI?
9.0
Top 13% Overall Impact
πŸ”₯ Popularity (P) 0
πŸš€ Velocity (V) 0
πŸ›‘οΈ Credibility (C) 0
πŸ”§ Utility (U) 0
Nexus Verified Data

πŸ’¬ Why this score?

This AutoRAG has a P score of 0 (popularity from downloads/likes), V of 0 (growth velocity), C of 0 (credibility from citations), and U of 0 (utility/deploy support).

πŸ”— Source Links (Click to verify)

πŸ“Š P: HuggingFace Stats πŸ“ˆ V: 7-Day Delta πŸ“„ C: Papers With Code πŸ”§ U: Deploy Score
Data Verified πŸ• Last Updated: Not calculated
Free2AI Nexus Index | Fair Β· Transparent Β· Explainable | Full Methodology
❀️
Likes
4,569

Agent Profile

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

ZEN MODE β€’ Agent Profile

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

Social Proof

GitHub Repository
4.6KStars
373Forks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Daily sync (03:00 UTC)

AI Summary: Based on GitHub metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Agent Transparency Report

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100% Data Disclosure Active

πŸ†” Identity & Source

id
gh-agent--marker-inc-korea--autorag
source
github
author
Marker Inc Korea
tags
analysisautomlbenchmarkingdocument-parserembeddingsevaluationllmllm-evaluationllm-opsopen-sourceopsoptimizationpipelinepythonqaragrag-evaluationretrieval-augmented-generationdiscovered

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
discovered

πŸ“Š Engagement & Metrics

likes
4,569
downloads
0
github stars
4,568

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)