Annoy vector db of Russian Synodal Translation (RST) of Bible
Embdding by intfloat/multilingual-e5-large
Ussage:
rst_ind = AnnoyIndex(1024, metric='angular')
rst_ind.load('rst.indx')
rst_df = pandas.read_csv('rst_db.csv')
embd = GetE5Emb("Как жить правильно и не совершить греха?") # see the origin e5-large usage
indices = rst_ind.get_nns_by_vector(emb, 3)
ind = random.choice(indices)
str_ = rst_df.loc[ind].Text
print(f"{str_} [{rst_df.loc[ind]['Book']}{rst_df.loc[ind]['Chapter']}:{rst_df.loc[ind]['Verse']}]")
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