i just embedding about 2 QA datasets about 150MB , it take nearly 90GB stoage in docker , it is normal ?
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micjac99
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Ragflow0.16, Chunk Method :QA , embedding model : nomic-embed-text , dataset: Surgical_QA_all.csv + QA_Andrology.csv
i just embedding about 2 QA datasets about 150MB , it take nearly 90GB stoage , it is normal ? is there any temp files to clear so as to free up the disk space.
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micjac99
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i just embedding about 2 QA datasets about 150BM , it take nearly 90GB stoage in docker , it is normal ?
to i just embedding about 2 QA datasets about 150MB , it take nearly 90GB stoage in docker , it is normal ?