Data & Research · GitHub ·4,696 ★

AutoRAG

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

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Details

Author
Marker-Inc-Korea
Category
Data & Research
Platform
GitHub
Framework
custom
Language
python
Stars
4,696
First indexed
2026-05-15
Last active
2026-04-10
Directory sync
2026-05-15
@Marker-Inc-Koreamarkr.ai

Overview

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

Quick start

git

git clone https://github.com/Marker-Inc-Korea/AutoRAG

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

What AutoRAG can do

frameworkragembeddinganalyllm
  • Framework — framework task automation.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Analy — analy task automation.
  • Llm — llm task automation.

Frequently asked questions

What is AutoRAG?
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
How do I install AutoRAG?
Use git: `git clone https://github.com/Marker-Inc-Korea/AutoRAG`. Full setup details on the source page linked above.
Is AutoRAG open source?
AutoRAG is published on GitHub.
What are alternatives to AutoRAG?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for AutoRAG is sourced from GitHub, published by Marker-Inc-Korea.

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