baguetter
Baguetter is a flexible, efficient, and hackable search engine library implemented in Python. It's designed for quickly benchmarking, implementing, and testing new search methods. Baguetter supports sparse (traditional), dense (semantic), and hybrid retrieval methods.
파일 탐색기
최종 버전 다운로드 (.zip)- action.yml
- _lint.yml
- _release.yml
- _test.yml
- _test_release.yml
- __init__.py
- base.py
- constants.py
- hf_dataset.py
- __init__.py
- eval.py
- __init__.py
- config.py
- fuser.py
- __init__.py
- base.py
- config.py
- faiss.py
- usearch.py
- __init__.py
- index.py
- scoring.py
- __init__.py
- index.py
- __init__.py
- __init__.py
- normalization.py
- stemmer.py
- stopwords.py
- text_processor.py
- tokenizer.py
- __init__.py
- base.py
- bm25.py
- bmx.py
- config.py
- __init__.py
- base.py
- mutli.py
- search_engine.py
- __init__.py
- common.py
- file_repository.py
- model_helpers.py
- numba_utils.py
- numpy_cache.py
- numpy_utils.py
- persistable.py
- sqlite_key_val.py
- __init__.py
- cli.py
- enums.py
- logger.py
- py.typed
- settings.py
- types.py
- eval_loco.py
- eval_aug_mteb.py
- eval_mteb.py
- README.md
- eval.py
- dense_index.ipynb
- embedding_quantization.ipynb
- hf_save_idx.ipynb
- pre_tokenize.ipynb
- reranking.ipynb
- save_idx.ipynb
- eval_test.py
- faiss_test.py
- usearch_test.py
- stemmer_test.py
- stopwords_test.py
- text_normalization_test.py
- tokenizer_test.py
- base_test.py
- model_test.py
- mteb_test.py
- __init__.py
- index.py
- text_preprocessor.py
- __init__.py
- numba_utils_test.py
- .gitignore
- .pre-commit-config.yaml
- conftest.py
- LICENSE
- Makefile
- pyproject.toml
- README.md
- README_CN.md
- ruff.toml
// repository documentation
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