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ImadSaddik / Benchmark_Embedding_Models

The goal of this project is to create a high-quality (golden) dataset from your data, which will serve as a benchmark for evaluating various embedding models.

python nlp open-source benchmarking course statistical-tests quantization embedding-models embedding sentence-transformers ranx

Updated Jan 15, 2026
Jupyter Notebook

tsdata / ranx-k

Star

Korean-optimized RAG evaluation toolkit with Kiwi tokenizer, ROUGE metrics, and IR evaluation for retrieval systems (Hit@K, NDCG@K, MRR, etc.)

nlp map retrieval evaluation kiwi korean rouge ndcg mrr rag hit-rate langchain ranx

Updated Aug 20, 2025
Python

anilsathyan7 / visdoc

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document-retrieval rag colbert qdrant vllm colpali vidore muvera ranx gemma4 gemma4-e4b multi-vector-retrieval

Updated Jun 6, 2026
Python

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