AutoRAG good first issues (Python)

docs: add GitHub Gists to the public datasource list about 1 month ago

documentation good first issue AutoRAG-2.0

4.9K

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

Python

#analysis#automl#benchmarking#document-parser#embeddings#evaluation#llm#llm-evaluation#llm-ops#open-source#ops#optimization#pipeline#python#qa#rag#rag-evaluation#retrieval-augmented-generation

refactor(manifest): remove deprecated StoreManifest stub and unused Indexed Stores prompt section about 1 month ago

help wanted AutoRAG-2.0

Marker-Inc-Korea/AutoRAG

4.9K

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

Python

#analysis#automl#benchmarking#document-parser#embeddings#evaluation#llm#llm-evaluation#llm-ops#open-source#ops#optimization#pipeline#python#qa#rag#rag-evaluation#retrieval-augmented-generation

Any great method to keep update sample YAML file for the latest modules and nodes? 3 months ago

help wanted AutoRAG-legacy

Marker-Inc-Korea/AutoRAG

4.9K

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

Python

#analysis#automl#benchmarking#document-parser#embeddings#evaluation#llm#llm-evaluation#llm-ops#open-source#ops#optimization#pipeline#python#qa#rag#rag-evaluation#retrieval-augmented-generation

Add ClapNQ as RAG evaluation dataset sample 3 months ago

enhancement good first issue AutoRAG-legacy

Marker-Inc-Korea/AutoRAG

4.9K

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

Python

#analysis#automl#benchmarking#document-parser#embeddings#evaluation#llm#llm-evaluation#llm-ops#open-source#ops#optimization#pipeline#python#qa#rag#rag-evaluation#retrieval-augmented-generation

[Feature Request] Add azure api docs and tutorial (+ sample config files) 3 months ago

enhancement good first issue AutoRAG-legacy

Marker-Inc-Korea/AutoRAG

4.9K

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

Python

#analysis#automl#benchmarking#document-parser#embeddings#evaluation#llm#llm-evaluation#llm-ops#open-source#ops#optimization#pipeline#python#qa#rag#rag-evaluation#retrieval-augmented-generation

[Feature Request] Make short version data of Eli5 dataset for quick testing and evaluation 3 months ago

enhancement good first issue AutoRAG-legacy

Marker-Inc-Korea/AutoRAG

4.9K

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

Python

#analysis#automl#benchmarking#document-parser#embeddings#evaluation#llm#llm-evaluation#llm-ops#open-source#ops#optimization#pipeline#python#qa#rag#rag-evaluation#retrieval-augmented-generation

[Feature Request] ROUGE Score Drops Due to <think> Tags in LLM Outputs (Internal Reasoning) 3 months ago

enhancement help wanted AutoRAG-legacy

Marker-Inc-Korea/AutoRAG

4.9K

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

Python

#analysis#automl#benchmarking#document-parser#embeddings#evaluation#llm#llm-evaluation#llm-ops#open-source#ops#optimization#pipeline#python#qa#rag#rag-evaluation#retrieval-augmented-generation

Add NVIDA reranker module 9 months ago

good first issue New Module

Marker-Inc-Korea/AutoRAG

4.9K

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

Python

#analysis#automl#benchmarking#document-parser#embeddings#evaluation#llm#llm-evaluation#llm-ops#open-source#ops#optimization#pipeline#python#qa#rag#rag-evaluation#retrieval-augmented-generation

Marker-Inc-Korea/AutoRAG

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