ragatouille/RAGPretrainedModel.py,sha256=iRHZPaT3kbJUfXG3SqdH0SHzk58L48JfGy8owSpfjvo,17118
ragatouille/RAGTrainer.py,sha256=YAp9jI1YMSgDu0Qe98bnFERkYSu9Fq1f5YxdCu5gGAY,10664
ragatouille/__init__.py,sha256=xnmdvy6LdsYFZ6bPJRbnPZm1Cf3hQOijV_94GkF_sgU,156
ragatouille/data/__init__.py,sha256=FGez7PDC3frYEGZdv2ot63yU0zG0ROMYnAXshnpZb0o,266
ragatouille/data/corpus_processor.py,sha256=ztzXJmb5lDYGcmGyu1dPe3N5q7loct19ZmAEZXC8B6s,1339
ragatouille/data/preprocessors.py,sha256=IKah3dpYdW3q3h9U65Xx7xBewTk33f4xyScki5YLJJI,739
ragatouille/data/training_data_processor.py,sha256=_B9QxRwaDzJe1USzFQmQUNc6Eb-9hQhpfAcFoovvd2A,10443
ragatouille/integrations/__init__.py,sha256=ZRGb4bFKIHm22waTCaM_p4mf55PXPj_v1MWb6ptDIbQ,202
ragatouille/integrations/_langchain.py,sha256=SXWiVngbQkeiqxIfGVMeJp85vTBP6KL9t4yt5tvadXI,1811
ragatouille/models/__init__.py,sha256=QcaqQrtwrI4I2a8cBHCl1-EAgPtM1fQKSaaDuSKWAU4,115
ragatouille/models/base.py,sha256=7T2TV0ohqQVOYDJaSn3XUxm9EC03pH-jgTwSx_bRt_I,731
ragatouille/models/colbert.py,sha256=puhkI4dI5dTzTL0H7flzcNwmdvDYR8wRABhyflUcSoE,27246
ragatouille/models/index.py,sha256=BT1aRiTyG1PLscRgx7keld4ObAB_4kw5GzY3mRVjvbM,17389
ragatouille/models/torch_kmeans.py,sha256=1FnWG8qcfr1iZ-1ezs42wctWy4gYrV4Kj5jB5ywWbIA,11694
ragatouille/models/utils.py,sha256=NGFvwhBNlaCZxrERsOMt9Hhzqsjn310Qbix_Z5ig7S4,4804
ragatouille/negative_miners/__init__.py,sha256=R0umo-bMLL6MVPmXf5W9cvkyT4h7kNkEepemKc-tmk0,121
ragatouille/negative_miners/base.py,sha256=fwugz1pxOXNT_KAbPsJDg56ECK2CEyQUUIYxcmHOfEE,485
ragatouille/negative_miners/simpleminer.py,sha256=GedkOZd2wAmIBeLzbQoMPccEPVI1LgMhfUYGKG0lMd0,5818
ragatouille/utils.py,sha256=GOBTZW4yGqDEP_JoOAmWFkLln40z97bcvU1-J1BDjjA,1046
ragatouille-0.0.8.dist-info/LICENSE,sha256=QwcOLU5TJoTeUhuIXzhdCEEDDvorGiC6-3YTOl4TecE,11356
ragatouille-0.0.8.dist-info/METADATA,sha256=-AnzPfqQdGFMX3VyYXdyuaTupHCH2a8L298KBiUcREw,15153
ragatouille-0.0.8.dist-info/WHEEL,sha256=sP946D7jFCHeNz5Iq4fL4Lu-PrWrFsgfLXbbkciIZwg,88
ragatouille-0.0.8.dist-info/RECORD,,
