docqa_bench/__init__.py,sha256=VJAWqp79USrouIH1-CMHRr50YyKrw8v9rtVHsurSvaU,998
docqa_bench/benchmark.py,sha256=YO-gAKuknWfUfCaAZgV7UuiIbc8bKSYO3HNCbzO_xGo,5660
docqa_bench/chunkers/simple_chunker.py,sha256=JQ91nVjwb0Vn80RAo-rQE_-fFl1QlOXZhrMwbq1Hqrg,893
docqa_bench/cli/main.py,sha256=nqin4Jh0e4Ef0ibPh0azrDk7rW7LoNS7Z1Q6t9GJ9DY,2000
docqa_bench/core/answer_generator.py,sha256=c7XUMQd6K0PROrBKxszugusYD8aA3dEJkw7cSkBvI3k,167
docqa_bench/core/chunker.py,sha256=mNKbhcQnr4IsN34J8tt8iCGujbHUSsjY5LdPLM_eKxg,168
docqa_bench/core/document.py,sha256=maUifui18wOOjkeW83mPgJoH-IHpODtNC2hbm6-vSGc,322
docqa_bench/core/embedder.py,sha256=hq1NnDzHNpg7VCMao2PEM5QlV7g3rnEtZqzRtp2Gj4Y,280
docqa_bench/core/evaluator.py,sha256=RhyvNvvVI5b9M5u4bt6KlNrA7b7qwzCUoVY4lg9Y6UA,180
docqa_bench/core/question_generator.py,sha256=Lo9tf71L1L649IxhNcZTi6TJsQa6Bk5weLc2CalKnIE,192
docqa_bench/core/vector_store.py,sha256=IekAG7Zij9RsE5m5A6DbgWKZI6x-Qigq3NJ51eE3N6s,380
docqa_bench/embedders/openai_embedder.py,sha256=Lwmmj6x_Zl78Llr05SErqGvrMU6pXAC8Akhh3Tjhifg,1193
docqa_bench/metrics/f1_score.py,sha256=VClCMQMDtQO-XZqrgCaCzLEDEqCoHBZZBeJ_IvALuy0,845
docqa_bench/models/openai_model.py,sha256=EtVpKz3kAWtGknbRCpAhlgyFGbLSn8A275do-APWaW8,2100
docqa_bench/vector_stores/chroma_store.py,sha256=pY4UC5Fsk2C8gHrS-_R-or3qsEFjh2xL-wQkvFkn1eU,2879
docqa_bench-0.1.10.dist-info/LICENSE,sha256=IJOWTAu0FHOkLGZaxe2DIKAvrFP8SEg4jMnwfRuO2mU,1062
docqa_bench-0.1.10.dist-info/METADATA,sha256=2YQjOWDPExpDe83CwpWKeT_iy_KX7XWVbXsG6UNh3OE,4400
docqa_bench-0.1.10.dist-info/WHEEL,sha256=sP946D7jFCHeNz5Iq4fL4Lu-PrWrFsgfLXbbkciIZwg,88
docqa_bench-0.1.10.dist-info/RECORD,,
