Provides the embedding for the input text. Returns a single vector of floating point numbers for your input, known as a text embedding. Among other uses, a text embedding enables you to calculate the similarity between two documents or two words.
ros_embedding(content, genre = NULL, language = NULL)
ros_embedding("Cambridge, Massachusetts")#> $embedding #> [1] -0.0752000000 -0.0404000020 0.0145000005 -0.0042333330 0.0155666670 #> [6] -0.0446333330 -0.0434666700 -0.0389333330 0.0051999990 0.0075333330 #> [11] 0.0176999980 0.0063666664 0.0995999950 0.0368666650 0.0041333330 #> [16] 0.0114333330 -0.0718666600 -0.0056666670 0.0292999990 -0.0372333340 #> [21] 0.0140666660 0.0185000000 0.0315000000 0.0328333300 -0.0391666700 #> [26] -0.0260333340 0.0296666680 -0.0132333330 0.0316000020 -0.0243333340 #> [31] 0.0080333330 -0.0493333340 -0.0105666680 0.0586666650 0.0247666690 #> [36] -0.0022999998 0.0222000010 0.0470333300 -0.0057333335 -0.0166666680 #> [41] 0.0265000020 -0.0437000000 0.0180999990 0.0042999997 0.0359333340 #> [46] -0.0004000002 0.0404000000 -0.0460666680 -0.0234666670 0.0085999990 #> [51] -0.0754666700 0.0490000000 0.0139333340 0.0101000000 0.0081000000 #> [56] 0.0297666660 0.0409000000 0.0825000000 0.0261666680 -0.0144000010 #> [61] -0.0320000000 0.0796333300 -0.0867333340 -0.0097000000 0.0608666650 #> [66] -0.0304666660 0.0263666680 0.0243333340 -0.0053333340 -0.0320666700 #> [71] 0.0164666680 0.0602333360 -0.0187000020 -0.0837999950 -0.0199666680 #> [76] 0.0530000030 0.0288000010 -0.0034666670 -0.0295000000 0.0100333330 #> [81] 0.0144666670 -0.0306999980 -0.0212666670 0.0173666640 -0.0106999995 #> [86] 0.0117666675 0.0201666670 -0.0528666680 0.0360666660 -0.0354666670 #> [91] -0.0425999950 -0.0200333330 -0.0325333330 -0.0044333330 -0.0050666668 #> [96] 0.0176000000 0.0247000000 0.0460666700 -0.0066333340 -0.0360666660 #> [101] 0.0137333350 0.0283000000 -0.0006999998 -0.0697333300 0.0162666660 #> [106] 0.0235000010 -0.0237999990 -0.0310666650 -0.0028333322 0.0207333320 #> [111] 0.0380333330 -0.0260666660 0.0286333320 0.0087000010 -0.0021333330 #> [116] 0.0592666600 0.0016000023 -0.0206000000 -0.0154333340 0.0154999990 #> [121] 0.0380333330 0.0093000000 0.0343000000 -0.0230999980 0.0021000002 #> [126] -0.0248333350 -0.0186666680 -0.0824333350 0.0680666640 0.0232666660 #> [131] -0.0690333300 -0.0092000000 -0.0623666640 0.0494333360 -0.0100333330 #> [136] -0.0433333330 -0.0261000000 -0.0160333330 -0.0139999995 -0.0310333350 #> [141] 0.0076666675 0.0073333327 0.0294333340 0.0276666660 0.0356666700 #> [146] -0.0393666660 -0.0078333350 0.0045666660 -0.0346000000 -0.0100333320 #> [151] 0.0230000020 0.0045666670 0.0870000050 -0.0301000010 -0.0366333350 #> [156] 0.0036333340 0.0482999980 0.0340333320 0.0150666670 -0.0128666675 #> [161] 0.0485000000 0.0571666660 0.0472333320 0.0093333330 0.0089666670 #> [166] 0.0349333320 0.0028666675 -0.0154000000 -0.0276666660 0.0357666650 #> [171] 0.0497000030 -0.0076666675 0.0225333330 -0.0352666680 0.0245666650 #> [176] 0.0007333332 0.0663666650 -0.0158333330 -0.0274000000 -0.0187333320 #> [181] -0.0364333350 -0.0028999995 0.0432666650 0.0230666680 -0.0333333350 #> [186] -0.0327333320 -0.0349333320 -0.0563333330 -0.0128333340 -0.0362000000 #> [191] -0.0555000000 0.0114000000 0.0515999980 -0.0210333320 -0.0466666670 #> [196] -0.0224000010 -0.0042999997 0.0325333330 -0.0415000000 -0.0283666680 #> [201] 0.0169333310 0.0028999990 0.0178333320 0.0298333340 0.0023666670 #> [206] 0.0307000000 -0.0201333330 -0.0067666660 0.0023000005 0.0297000020 #> [211] 0.0078000003 0.0374333340 -0.0182666650 0.0041666660 0.0097999990 #> [216] -0.0441000000 0.0149000000 -0.0431000000 -0.0047999993 -0.0303333350 #> [221] 0.0162000000 0.0011666663 0.0543333330 0.0073333345 0.0195666680 #> [226] -0.0118666660 -0.0021666668 0.0211000000 -0.0072666670 -0.0009333330 #> [231] 0.0336000000 -0.0010666667 0.0396666680 -0.0533333300 0.0354333330 #> [236] 0.0334666630 0.0307666660 -0.0082000000 0.0375333300 -0.0389000000 #> [241] 0.0465666650 -0.0070999996 0.0249666660 0.0126666660 0.0144000010 #> [246] 0.0126333340 -0.0533666650 -0.0556666660 0.0034333344 0.0136666670 #> [251] 0.0031000000 -0.0010666671 0.0139999995 -0.0325333330 0.0318333320 #> [256] 0.0330333340 -0.0203666670 0.0062333330 -0.0298333340 0.0097666670 #> [261] -0.0196333340 -0.0065666675 -0.0191999990 -0.0246000000 -0.0030333325 #> [266] 0.0344000000 0.0068666670 0.0505000000 0.0015000001 -0.0190666670 #> [271] -0.0225666670 0.0099000000 -0.0008333332 0.0168000000 0.0352333340 #> [276] 0.0193333350 0.0214333330 -0.0194333330 0.0199000000 -0.0006666670 #> [281] 0.0078000003 -0.0300999970 0.0262666700 0.0511000000 -0.0056666670 #> [286] -0.0210666680 -0.0070000007 -0.0582333360 -0.0107333330 0.0442666670 #> [291] -0.0171333330 -0.0005999999 0.0088000010 0.0140333325 -0.0251666660 #> [296] -0.0054333340 0.0244666700 0.0111000010 -0.0223000000 -0.0383000000 #> [301] 0.0050333333 -0.0090000000 -0.0560000050 -0.0134333335 -0.0083333330 #> [306] -0.0321333330 0.0311666650 0.0243000000 -0.0279999990 -0.0245666650 #> [311] 0.0201333330 -0.0158666650 0.0065666675 0.0034000005 0.0130000000 #> [316] -0.0092666660 0.0438000000 -0.0515999980 0.0110333340 -0.0245333330 #> [321] -0.0003000014 -0.0017666664 0.0339666640 0.0147333330 0.0122333330 #> [326] 0.0163666660 0.0014333352 0.0094333340 0.0078000000 -0.0605666670 #> [331] 0.0047999998 0.0028333329 0.0002333332 -0.0616000000 -0.0309666640 #> [336] 0.0167333330 0.0472333320 0.0056999996 -0.0387333330 0.0305333340 #> [341] -0.0289666670 0.0040000000 -0.0112000000 0.0482333300 -0.0079333335 #> [346] 0.0149333340 0.0347666700 0.0337666700 -0.0221666680 -0.0377666650 #> [351] 0.0154666680 0.0490000000 0.0458333340 -0.0322000000 -0.0213666650 #> [356] -0.0131333330 0.0333333350 -0.0087999990 -0.0022000000 0.0570000000 #> [361] -0.0251666680 0.0314333330 -0.0162666660 -0.0088000000 -0.0081333340 #> [366] -0.0014999993 -0.0103666670 0.0213999990 -0.0129000010 -0.0165333340 #> [371] -0.0341000000 0.0142333330 0.0246666670 0.0153333330 -0.0374333340 #> [376] 0.0213000010 -0.0095333345 -0.0001666665 0.0005666666 -0.0440000000 #> [381] 0.0185666660 -0.0073333330 -0.0141000000 -0.0169333330 -0.0118999990 #> [386] -0.0130333330 -0.0028333336 0.0357666650 -0.0514333360 0.0583666670 #> [391] 0.0205333330 0.0053333340 -0.0223000000 0.0251000000 0.0281333330 #> [396] -0.0019666664 0.0176333340 0.0087000000 -0.0310333320 0.0052666664 #> [401] -0.0359000000 0.0340333320 -0.0006000002 -0.0292333350 -0.0246333330 #> [406] -0.0601666700 0.0214999990 -0.0663333300 -0.0121666670 -0.0222000010 #> [411] 0.0112333335 -0.0306666660 0.0230999980 -0.0065000006 -0.0173666680 #> [416] 0.0142666670 0.0187666660 0.0048000010 -0.0305000000 0.0237333330 #> [421] -0.0368666700 0.0124666660 -0.0063666664 0.0315333340 -0.0123333335 #> [426] -0.0118999990 -0.0517999980 0.0116000000 -0.0284333320 -0.0216666660 #> [431] -0.0088333340 0.0301333310 -0.0229333340 -0.0103666670 -0.0082333330 #> [436] 0.0553333300 0.0108333330 -0.0862333400 -0.0289666650 -0.0333333350 #> [441] -0.0115000010 0.0546000000 -0.0046333340 -0.0206666660 0.0461333300 #> [446] -0.0599333350 0.0422333330 0.0298666670 -0.0033999980 0.0301999990 #> [451] 0.0466000000 0.0823666700 0.0155333310 -0.0075333323 0.0283333300 #> [456] -0.0372000000 -0.0395333320 -0.0278000000 -0.0389333330 -0.0145999985 #> [461] 0.0181333330 -0.0361333300 0.0245333330 -0.0060000005 -0.0030999996 #> [466] 0.0254666660 -0.0329666660 0.0050333333 0.0287000000 -0.0443333350 #> [471] -0.0344333300 0.0285666680 -0.0086999990 0.0285000000 -0.0511000000 #> [476] -0.0011000000 -0.0001666670 0.0481999960 0.0195999980 0.0024666667 #> [481] 0.0274333300 -0.0226000000 0.0208333340 -0.0117333340 0.0077666673 #> [486] -0.0191999990 -0.0174000020 -0.0112666660 -0.0350000000 -0.0555000000 #> [491] -0.0201333330 0.0265333340 0.0403666650 0.0122000010 -0.0227666660 #> [496] 0.0074666664 -0.0552000000 0.0368000000 -0.0743666700 -0.0193333330 #> [501] -0.0038666672 0.0262333320 -0.0053666667 0.0255666670 0.0015666666 #> [506] 0.0105666680 -0.0344333350 -0.0185666680 0.0036666666 0.0741666600 #> [511] -0.0253999980 -0.0093333340 #> #>