00_quick_start.py

import os, json, time
from pymilvus import MilvusClient

CLUSTER_ENDPOINT="YOUR_CLUSTER_ENDPOINT" # Set your cluster endpoint
TOKEN="YOUR_CLUSTER_TOKEN" # Set your token
COLLECTION_NAME="medium_articles_2020" # Set your collection name
DATASET_PATH="{}/../medium_articles_2020_dpr.json".format(os.path.dirname(__file__)) # Set your dataset path

# 1. Initialize a MilvusClient instance
# Replace uri and API key with your own
client = MilvusClient(
    uri=CLUSTER_ENDPOINT, # Cluster endpoint obtained from the console
    token=TOKEN # API key or a colon-separated cluster username and password
)

# 2. Create a collection
client.create_collection(
    collection_name=COLLECTION_NAME,
    dimension=768
)

res = client.describe_collection(
    collection_name=COLLECTION_NAME
)

print(res)

# Output
#
# {
#     "collection_name": "medium_articles_2020",
#     "auto_id": false,
#     "num_shards": 1,
#     "description": "",
#     "fields": [
#         {
#             "field_id": 100,
#             "name": "id",
#             "description": "",
#             "type": 5,
#             "params": {},
#             "element_type": 0,
#             "is_primary": true
#         },
#         {
#             "field_id": 101,
#             "name": "vector",
#             "description": "",
#             "type": 101,
#             "params": {
#                 "dim": 768
#             },
#             "element_type": 0
#         }
#     ],
#     "aliases": [],
#     "collection_id": 445766087115663107,
#     "consistency_level": 2,
#     "properties": {},
#     "num_partitions": 1,
#     "enable_dynamic_field": true
# }



# 3. Insert a single entity
res = client.insert(
    collection_name=COLLECTION_NAME,
    data={
        'id': 0, 
        'title': 'The Reported Mortality Rate of Coronavirus Is Not Important', 
        'link': '<https://medium.com/swlh/the-reported-mortality-rate-of-coronavirus-is-not-important-369989c8d912>', 
        'reading_time': 13, 
        'publication': 'The Startup', 
        'claps': 1100, 
        'responses': 18, 
        'vector': [0.041732933, 0.013779674, -0.027564144, -0.013061441, 0.009748648, 0.00082446384, -0.00071647146, 0.048612226, -0.04836573, -0.04567751, 0.018008126, 0.0063936645, -0.011913628, 0.030776596, -0.018274948, 0.019929802, 0.020547243, 0.032735646, -0.031652678, -0.033816382, -0.051087562, -0.033748355, 0.0039493158, 0.009246126, -0.060236514, -0.017136049, 0.028754413, -0.008433934, 0.011168004, -0.012391256, -0.011225835, 0.031775184, 0.002929508, -0.007448661, -0.005337719, -0.010999258, -0.01515909, -0.005130484, 0.0060212007, 0.0034560722, -0.022935811, -0.04970116, -0.0155887455, 0.06627353, -0.006052789, -0.051570725, -0.109865054, 0.033205193, 0.00041118253, 0.0029823708, 0.036160238, -0.011256539, 0.00023560718, 0.058322437, 0.022275906, 0.015206677, -0.02884609, 0.0016338055, 0.0049200393, 0.014388571, -0.0049061654, -0.04664761, -0.027454877, 0.017526226, -0.005100602, 0.018090058, 0.02700998, 0.04031944, -0.0097965, -0.03674761, -0.0043163053, -0.023320708, 0.012654851, -0.014262311, -0.008081833, -0.018334744, 0.0014025003, -0.003053399, -0.002636383, -0.022398386, -0.004725274, 0.00036367847, -0.012368711, 0.0014739085, 0.03450414, 0.009684024, 0.017912658, 0.06594397, 0.021381201, 0.029343689, -0.0069561847, 0.026152428, 0.04635037, 0.014746184, -0.002119602, 0.034359712, -0.013705124, 0.010691518, 0.04060854, 0.013679299, -0.018990282, 0.035340093, 0.007353945, -0.035990074, 0.013126987, -0.032933377, -0.001756877, -0.0049658176, -0.03380879, -0.07024137, -0.0130426735, 0.010533265, -0.023091802, -0.004645729, -0.03344451, 0.04759929, 0.025985204, -0.040710885, -0.016681142, -0.024664842, -0.025170377, 0.08839205, -0.023733815, 0.019494494, 0.0055427826, 0.045460507, 0.07066554, 0.022181382, 0.018302314, 0.026806992, -0.006066003, 0.046525814, -0.04066389, 0.019001767, 0.021242762, -0.020784091, -0.031635042, 0.04573943, 0.02515421, -0.050663553, -0.05183343, -0.046468202, -0.07910535, 0.017036669, 0.021445233, 0.04277428, 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-0.057496265, 0.034993384, 0.07075411, 0.023498386, 0.085871644, 0.028646072, 0.007590898, 0.07037031, -0.05005178, 0.010477505, -0.014106617, 0.013402172, 0.007472563, -0.03131418, 0.020552127, -0.031878896, -0.04170217, -0.03153583, 0.03458349, 0.03366634, 0.021306382, -0.037176874, 0.029069472, 0.014662372, 0.0024123765, -0.025403008, -0.0372993, -0.049923114, -0.014209514, -0.015524425, 0.036377322, 0.04259327, -0.029715618, 0.02657093, -0.0062432447, -0.0024253451, -0.021287171, 0.010478781, -0.029322306, -0.021203341, 0.047209084, 0.025337176, 0.018471811, -0.008709492, -0.047414266, -0.06227469, -0.05713435, 0.02141101, 0.024481304, 0.07176469, 0.0211379, -0.049316987, -0.124073654, 0.0049275495, -0.02461509, -0.02738388, 0.04825289, -0.05069646, 0.012640115, -0.0061352802, 0.034599125, 0.02799496, -0.01511028, -0.046418104, 0.011309801, 0.016673129, -0.033531003, -0.049203333, -0.027218347, -0.03528408, 0.008881575, 0.010736325, 0.034232814, 0.012807507, -0.0100207105, 0.0067757815, 0.009538357, 0.026212366, -0.036120333, -0.019764563, 0.006527411, -0.016437015, -0.009759148, -0.042246807, 0.012492151, 0.0066206953, 0.010672299, -0.44499892, -0.036189068, -0.015703931, -0.031111298, -0.020329623, 0.0047888453, 0.090396516, -0.041484866, 0.033830352, -0.0033847596, 0.06065415, 0.030880837, 0.05558494, 0.022805553, 0.009607596, 0.006682602, 0.036806617, 0.02406229, 0.034229457, -0.0105605405, 0.034754273, 0.02436426, -0.03849325, 0.021132406, -0.01251386, 0.022090863, -0.029137045, 0.0064384523, -0.03175176, -0.0070441505, 0.016025176, -0.023172623, 0.00076795724, -0.024106828, -0.045440633, -0.0074440194, 0.00035374766, 0.024374487, 0.0058897804, -0.012461025, -0.029086761, 0.0029477053, -0.022914894, -0.032369837, 0.020743662, 0.024116345, 0.0020526652, 0.0008596536, -0.000583463, 0.061080184, 0.020812698, -0.0235381, 0.08112197, 0.05689626, -0.003070104, -0.010714772, -0.004864459, 0.027089117, -0.030910335, 0.0017404438, -0.014978656, 0.0127020255, 0.01878998, -0.051732827, -0.0037475713, 0.013033434, -0.023682894, -0.03219574, 0.03736345, 0.0058930484, -0.054040316, 0.047637977, 0.012636436, -0.05820182, 0.013828813, -0.057893142, -0.012405234, 0.030266648, -0.0029184038, -0.021839319, -0.045179468, -0.013123978, -0.021320488, 0.0015718226, 0.020244086, -0.014414709, 0.009535103, -0.004497577, -0.02577227, -0.0085017495, 0.029090486, 0.009356506, 0.0055838437, 0.021151636, 0.039531752, 0.07814674, 0.043186333, -0.0077368533, 0.028967595, 0.025058193, 0.05432941, -0.04383656, -0.027070394, -0.080263995, -0.03616516, -0.026129462, -0.0033627374, 0.035040155, 0.015231506, -0.06372076, 0.046391208, 0.0049725454, 0.003783345, -0.057800908, 0.061461, -0.017880175, 0.022820404, 0.048944063, 0.04725843, -0.013392871, 0.05023065, 0.0069421427, -0.019561166, 0.012953843, 0.06227977, -0.02114757, -0.003334329, 0.023241237, -0.061053444, -0.023145229, 0.016086273, 0.0774039, 0.008069459, -0.0013532874, -0.016790181, -0.027246375, -0.03254919, 0.033754334, 0.00037142826, -0.02387325, 0.0057056695, 0.0084914565, -0.051856343, 0.029254, 0.005583839, 0.011591886, -0.033027634, -0.004170374, 0.018334484, -0.0030969654, 0.0024489106, 0.0030196267, 0.023012564, 0.020529047, 0.00010772953, 0.0017700809, 0.029260442, -0.018829526, -0.024797931, -0.039499596, 0.008108761, -0.013099816, -0.11726566, -0.005652353, -0.008117937, -0.012961832, 0.0152542135, -0.06429504, 0.0184562, 0.058997117, -0.027178442, -0.019294549, -0.01587592, 0.0048053437, 0.043830805, 0.011232237, -0.026841154, -0.0007282251, -0.00862919, -0.008405325, 0.019370917, -0.008112641, -0.014931766, 0.065622255, 0.0149185015, 0.013089685, -0.0028022556, -0.028629888, -0.048105706, 0.009296162, 0.010251239, 0.030800395, 0.028263845, -0.011021621, -0.034127586, 0.014709971, -0.0075270324, 0.010737263, 0.020517904, -0.012932179, 0.007153817, 0.03736311, -0.03391106, 0.03028614, 0.012531187, -0.046059456, -0.0043963846, 0.028799629, -0.06663413, -0.009447025, -0.019833198, -0.036111858, -0.01901045, 0.040701825, 0.0060573653, 0.027482377, -0.019782187, -0.020186251, 0.028398912, 0.027108852, 0.026535714, -0.000995191, -0.020599326, -0.005658084, -0.017271476, 0.026300041, -0.006992451, -0.08593853, 0.03675959, 0.0029454317, -0.040927384, -0.035480253, 0.016498009, -0.03406521, -0.026182177, -0.0007024827, 0.019500641, 0.0047998386, -0.02416359, 0.0019833131, 0.0033488963, 0.037788488, -0.009154958, -0.043469638, -0.024896, -0.017234193, 0.044996973, -0.06303135, -0.051730774, 0.04041444, 0.0075959326, -0.03901764, -0.019851806, -0.008242245, 0.06107143, 0.030118924, -0.016167669, -0.028161867, -0.0025679746, -0.021713274, 0.025275888, -0.012819265, -0.036431268, 0.017991759, 0.040626206, -0.0036572467, -0.0005935883, -0.0037468506, 0.034460746, -0.0182785, -0.00431203, -0.044755403, 0.016463224, 0.041199315, -0.0093387, 0.03919184, -0.01151653, -0.016965209, 0.006347649, 0.021104146, 0.060276803, -0.026659148, 0.026461488, -0.032700688, 0.0012274865, -0.024675943, -0.003006079, -0.009607032, 0.010597691, 0.0043017124, -0.01908524, 0.006748306, -0.03049305, -0.017481703, 0.036747415, 0.036634356, 0.0007106319, 0.045647435, -0.020883067, -0.0593661, -0.03929885, 0.042825453, 0.016104022, -0.03222858, 0.031112716, 0.020407677, -0.013276762, 0.03657825, -0.033871554, 0.004176301, 0.009538976, -0.009995692, 0.0042660628, 0.050545394, -0.018142857, 0.005219403, 0.0006711967, -0.014264284, 0.031044828, -0.01827481, 0.012488852, 0.031393733, 0.050390214, -0.014484084, -0.054758117, 0.055042055, -0.005506624, -0.0066648237, 0.010891078, 0.012446279, 0.061687976, 0.018091502, 0.0026527622, 0.0321537, -0.02469515, 0.01772019, 0.006846163, -0.07471038, -0.024433741, 0.02483875, 0.0497063, 0.0043456135, 0.056550737, 0.035752796, -0.02430349, 0.036570627, -0.027576203, -0.012418993, 0.023442797, -0.03433812, 0.01953399, -0.028003592, -0.021168072, 0.019414881, -0.014712576, -0.0003938545, 0.021453558, -0.023197332, -0.004455581, -0.08799191, 0.0010808896, 0.009281116, -0.0051161298, 0.031497046, 0.034916095, -0.023042161, 0.030799815, 0.017298799, 0.0015253434, 0.013728047, 0.0035838438, 0.016767647, -0.022243451, 0.013371096, 0.053564783, -0.008776885, -0.013133307, 0.015577713, -0.027008705, 0.009490815, -0.04103532, -0.012426461, -0.0050485474, -0.04323231, -0.013291623, -0.01660157, -0.055480026, 0.017622838, 0.017476618, -0.009798125, 0.038226977, -0.03127579, 0.019329516, 0.033461004, -0.0039813113, -0.039526325, 0.03884973, -0.011381027, -0.023257744, 0.03033401, 0.0029607012, -0.0006490531, -0.0347344, 0.029701462, -0.04153701, 0.028073426, -0.025427297, 0.009756264, -0.048082624, 0.021743972, 0.057197016, 0.024082556, -0.013968224, 0.044379756, -0.029081704, 0.003487999, 0.042621125, -0.04339743, -0.027005397, -0.02944044, -0.024172144, -0.07388652, 0.05952364, 0.02561452, -0.010255158, -0.015288555, 0.045012463, 0.012403602, -0.021197597, 0.025847573, -0.016983166, 0.03021369, -0.02920852, 0.035140667, -0.010627725, -0.020431923, 0.03191218, 0.0046844087, 0.056356475, -0.00012615003, -0.0052536936, -0.058609407, 0.009710908, 0.00041168949, -0.22300485, -0.0077232462, 0.0029359192, -0.028645728, -0.021156758, 0.029606635, -0.026473567, -0.0019432966, 0.023867624, 0.021946864, -0.00082128344, 0.01897284, -0.017976845, -0.015677344, -0.0026336901, 0.030096486]
    }
)

print(res)

# Output
#
# [0]



# 4. Prepare the dataset

# To insert multiple entities at a time, organize your data in a list of dictionaries.
# Each dictionary represents an entity, and the keys are the field names.

data = [
    {
        'id': 0, 
        'title': 'The Reported Mortality Rate of Coronavirus Is Not Important', 
        'vector': [0.041732933, 0.013779674, -0.027564144, -0.013061441, 0.009748648, 0.00082446384, -0.00071647146, 0.048612226, -0.04836573, -0.04567751, 0.018008126, 0.0063936645, -0.011913628, 0.030776596, -0.018274948, 0.019929802, 0.020547243, 0.032735646, -0.031652678, -0.033816382, -0.051087562, -0.033748355, 0.0039493158, 0.009246126, -0.060236514, -0.017136049, 0.028754413, -0.008433934, 0.011168004, -0.012391256, -0.011225835, 0.031775184, 0.002929508, -0.007448661, -0.005337719, -0.010999258, -0.01515909, -0.005130484, 0.0060212007, 0.0034560722, -0.022935811, -0.04970116, -0.0155887455, 0.06627353, -0.006052789, -0.051570725, -0.109865054, 0.033205193, 0.00041118253, 0.0029823708, 0.036160238, -0.011256539, 0.00023560718, 0.058322437, 0.022275906, 0.015206677, -0.02884609, 0.0016338055, 0.0049200393, 0.014388571, -0.0049061654, -0.04664761, -0.027454877, 0.017526226, -0.005100602, 0.018090058, 0.02700998, 0.04031944, -0.0097965, -0.03674761, -0.0043163053, -0.023320708, 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        'link': '<https://medium.com/swlh/the-reported-mortality-rate-of-coronavirus-is-not-important-369989c8d912>', 
        'reading_time': 13, 
        'publication': 'The Startup', 
        'claps': 1100, 
        'responses': 18, 
    }, 
    {
        'id': 1,
        'title': 'Dashboards in Python: 3 Advanced Examples for Dash Beginners and Everyone Else',
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        'link': "https://medium.com/swlh/dashboards-in-python-3-advanced-examples-for-dash-beginners-and-everyone-else-b1daf4e2ec0a",
        'reading_time': 14,
        'publication': 'The Startup',
        'claps': 726,
        'responses': 3
    },
    {
        'id': 2,
        'title': 'How Can We Best Switch in Python?',
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-0.025261067, -0.012876287, 0.004674665, -0.062701315, -0.036242086, -0.015491459, -0.033093378, -0.003791472, 0.003521233, 0.015312638, -0.018087002, 0.0007275054, -0.025592119, -0.033027202, 0.0040619876, -0.0049337046, 0.012276444, 0.028485294, -0.0022711728, -0.037957348, 0.026373198, 0.011347564, 0.02729493, -0.012358346, 0.0038525765, 0.045374937, -0.021545382, -0.015508571, -0.011422388, 0.030073423, -0.035008345, -0.045318596, 0.030025236, 0.027738895, -0.010382076, 0.0018489916, -0.051705457, -0.00014905288, -0.01871698, -0.026817072, -0.065421715, -0.009121612, 0.020758322, -0.01539622, -0.0025403304, -0.058611013, 0.03054597, 0.021318326, 0.0027275842, -0.020702, -0.004794398, 0.019018736, -0.012444672, -0.019887973, -0.022113265, 0.023049643, -0.014587576, 0.014351464, 0.029817551, -0.0609792, 0.042052478, -0.055451162, -0.034356594, -0.047547698, -0.01826999, 0.040954057, 0.002969797, -0.056506813, -0.0073451693, -0.02482, 0.03168265, 0.015525525, 0.07468302, 0.01469982, 0.00210511, -0.019698266, -0.00031182918, -0.019210724, 0.041207567, 0.0053758505, 0.009472572, 0.03771915, -0.06461313, 0.04082511, -0.008058872, 0.0012331214, 0.0069069173, 0.0024821213, 0.006390242, 0.0011468151, -0.038794484, -0.063377164, -0.014241851, 0.04237302, 0.06795088, -0.023934761, -0.020242302, 0.02311365, -0.012824183, 0.03533031, -0.008410466, 0.02789391, -0.013549344, 0.022365555, 0.025989164, 0.04313728, -0.028337618, 0.026092393, 0.024711346, -0.052706428, 0.005730622, 0.022862181, -0.0076183174, -0.037243042, 0.052232295, -0.016049191, -0.06881278, 0.031964153, -0.021035925, 0.0138404025, -0.0013810501, 0.016167158, 0.034111433, 0.07161581, -0.025092546, -0.04386276, -0.0040376517, -0.025154384, 0.03385207, 0.015494304, 0.0048881858, 0.016264858, 0.061570168, 0.029936614, -0.01829368, -0.0037140124, -0.02359431, 0.023544896, 0.020937245, -0.0061871763, -0.045603115, 0.053354852, 0.040365223, 0.01763893, -0.020082904, 0.0067172833, 0.008561443, 0.00088409515, 0.0058731064, -0.016091827, 0.021013025, -0.080045305, 0.051248446, 0.051069897, -0.020342922, 0.003785443, -0.023021897, 0.018125402, 0.053128835, 0.007378299, 0.0270741, 0.02051721, -0.038264796, 0.027366923, -0.021771278, 0.027172359, -0.01405901, -0.025535831, -0.026873125, 0.025676413, -0.034890138, 0.009825487, -0.000653567, -0.0041931183, -0.03914068, -0.012084683, 0.021727156, 0.026943136, -0.024454104, 0.014687368, -0.036083054, 0.0052459547, -0.033593263, -0.037296012, -0.00528183, 0.024822053, -0.032910015, 0.013125118, -0.019655148, 0.050365735, 0.0025480876, 0.011558444, 0.02348081, 0.0059274384, 0.021103512, 0.025836773, -0.011869778, 0.024600193, -0.0393065, -0.018619377, -0.03744179, -0.026498258, 0.027013863, 0.039253354, -0.008169781, -0.009831139, -0.002388968, 0.04232686, 0.010924937, -0.034946863, 0.0039843144, 0.014260961, -0.06428069, -0.03166362, 0.024884656, 0.027559036, 0.0057664, 0.007130555, 0.029336175, 0.016878324, -0.02320544, 0.021938594, 0.008355895, -0.007115111, -0.023438789, 0.03528865, -0.009152654, -0.008653632, 0.0082724, -0.0025690612, 0.03129816, -0.007876752, -0.017509712, 0.024677664, 0.0370758, 0.021148562, -0.27696472, 0.0028338798, -0.014097512, -0.019267568, -0.03345135, 0.006941969, 0.010284976, 0.0012813237, -0.007259589, 0.006475924, 0.012507553, 0.033468552, 0.025855746, -0.03161831, 0.0067092087, 0.034458436],
        'link': 'https://medium.com/swlh/how-can-we-best-switch-in-python-458fb33f7835',
        'reading_time': 6,
        'publication': 'The Startup',
        'claps': 500,
        'responses': 7
    },
]

# The following snippet reads the first 200 rows from the dataset and form them in the above format.

with open(DATASET_PATH) as f:
  data = json.load(f)
  data = data["rows"][:200]
  for x in data:
    x["vector"] = x.pop("title_vector") 

print(data[:2])

# Output
#
# [
#     {
#         "id": 0,
#         "title": "The Reported Mortality Rate of Coronavirus Is Not Important",
#         "link": "https://medium.com/swlh/the-reported-mortality-rate-of-coronavirus-is-not-important-369989c8d912",
#         "reading_time": 13,
#         "publication": "The Startup",
#         "claps": 1100,
#         "responses": 18,
#         "vector": [
#             0.041732933,
#             0.013779674,
#             -0.027564144,
#             -0.013061441,
#             0.009748648,
#             0.00082446384,
#             -0.00071647146,
#             0.048612226,
#             -0.04836573,
#             -0.04567751,
#             "(758 more items hidden)"
#         ]
#     },
#     {
#         "id": 1,
#         "title": "Dashboards in Python: 3 Advanced Examples for Dash Beginners and Everyone Else",
#         "link": "https://medium.com/swlh/dashboards-in-python-3-advanced-examples-for-dash-beginners-and-everyone-else-b1daf4e2ec0a",
#         "reading_time": 14,
#         "publication": "The Startup",
#         "claps": 726,
#         "responses": 3,
#         "vector": [
#             0.0039737443,
#             0.003020432,
#             -0.0006188639,
#             0.03913546,
#             -0.00089768134,
#             0.021238148,
#             0.014454661,
#             0.025742851,
#             0.0022063442,
#             -0.051130578,
#             "(758 more items hidden)"
#         ]
#     }
# ]



# Empty the collection
client.delete(collection_name=COLLECTION_NAME, pks=0)

# Insert multiple entities
res = client.insert(
  collection_name=COLLECTION_NAME,
  data=data
)

print(res)

# Output
#
# [
#     0,
#     1,
#     2,
#     3,
#     4,
#     5,
#     6,
#     7,
#     8,
#     9,
#     "(190 more items hidden)"
# ]



time.sleep(10)

# 5. Conduct a single vector search

# Organize your query vector in a list of list of floats.

SEARCH_VECTORS_1 = [
    [0.067084685, 0.012763148, -0.019562697, 0.041436773, -0.0071800495, 0.0068031778, 0.026846228, 0.0018171414, -0.017885696, -5.144758e-06, 0.021773607, 0.03877538, -0.04305705, 0.0040129432, -0.026112838, 0.02804271, 0.039550524, 0.009657041, 0.006124304, -0.03587743, -0.047360566, 0.047994304, -0.0026333537, -0.009287217, -0.009531011, -0.011128416, -0.0008089687, -0.012472947, -0.029548844, 0.018742273, -0.010443951, 0.03686704, -0.0062725404, -0.033065494, -0.037441205, -0.021756195, 0.015326248, -0.021178713, 0.004664664, -0.058233317, 0.00014567704, -0.004691694, -0.020430796, 0.018015612, -0.025032096, -0.0017203568, -0.15430935, -0.021535715, -0.023457527, 0.0091514895, 0.010723129, 0.029708661, 0.013871869, 0.033172037, -0.0039122645, 0.042791307, 0.0011374152, 0.008869271, 0.0029381646, -0.03368228, -0.0060222964, 0.0043577226, -0.013947957, 0.009290493, -0.012540634, 0.00273017, 0.022820204, 0.026924528, -0.022086479, -0.060783494, 0.016817782, -0.048939366, 0.019599559, 0.006206328, -0.002290718, -0.03590918, -0.018897992, -0.0042805285, 0.011843795, -0.017050676, -0.013486483, 0.020436956, 0.007546162, -0.02693981, 0.030861974, -0.013079769, -0.0062708417, 0.05667484, -0.011895964, -0.019626874, 0.019658655, -0.01592551, 0.048192456, 0.025277842, 0.012791405, -0.01912894, 0.018978393, -0.014250473, 0.01703835, 0.03480962, 0.0063537387, -0.042249113, -0.00043459053, -0.0018622469, -0.009442041, 0.017618423, 0.031027863, -0.022231897, -0.0376824, -0.04357785, -0.03438631, 0.029176407, -0.029065061, 0.017853128, -0.03679002, -0.01343899, 0.010235031, -0.0064424444, -0.013969234, -0.02093429, 0.03242403, 0.081176125, 0.047020823, -0.0053490726, 0.026101233, -0.011347566, 0.007888563, 0.033007886, -0.0329995, 0.020665517, 0.04136607, 0.035906706, -0.03490551, -0.0053841537, -0.011719225, -0.051888738, 0.013233477, 0.024516504, 0.022379812, -0.019201498, -0.06641265, 0.009281021, -0.117206626, 0.01930055, 0.013030688, -0.020969143, -0.009417929, 0.006143121, 0.011270797, -0.00027001393, 0.010003906, 0.01708631, -0.016258342, 0.024448106, 0.016732391, 0.037978027, -0.016748767, -0.05220301, -0.001617842, 0.009138166, 0.012382751, -0.015260991, 0.0054500694, -0.028620195, 0.008110576, -0.033788614, 0.0039199656, 0.020877296, -0.0019069016, 0.02486228, -0.054951686, 0.016345063, 0.0031373682, -0.018256962, -0.032652415, -0.0015583407, 0.035434894, 0.0057147266, 0.017852651, 0.019489108, -0.059383944, 0.047080282, 0.013476704, -0.034344416, -0.021401603, -0.0047124117, 0.03282476, 0.0310293, 0.0059062857, 0.017943364, -0.025785094, -0.008369121, 0.043759152, -0.05713893, 0.080261536, -0.019094586, -0.030248133, 0.031530432, -0.0078049167, -0.0072037927, 0.0037481654, -0.0052728076, 0.00545658, -0.03494784, -0.040497135, 0.12920712, 0.03730018, 0.013103399, -0.02073502, 0.023221344, 0.021372316, -0.020007843, -0.02039844, -0.034015827, -0.024792869, 0.02398402, -1.8960509e-05, 0.042674873, 0.023521705, -0.020507248, 0.049451265, -0.008896, 0.017111603, 0.04130102, 0.0117504895, 0.043999847, 0.013219506, 0.035527136, 0.01432157, -0.07690921, 0.0035484403, 0.0522345, 0.004887539, -0.04470897, 0.014145424, -0.002322764, -0.0006711694, -0.005171149, 0.009290426, -0.018422173, -0.016586823, 0.0136319, 0.001188213, 0.057175174, -0.017342528, 0.027671505, -0.042186387, 0.011572681, -0.021391649, -0.0033423735, -0.037542935, 0.005212495, -0.024934493, -0.032270443, 0.010533489, 0.016265279, -0.012949663, -0.0015713088, -0.0036994736, 0.028886143, -0.033987533, -0.014176839, -0.041233867, -0.0067877164, 0.021908464, -0.005136184, -0.04080503, -0.069470644, 0.021477029, 0.0458543, 0.023247648, 0.030698316, -0.039564475, -0.088643864, -0.02261754, 0.0045118416, 0.024566436, 0.046393085, -0.02216351, 0.00024930306, -0.021449536, 0.048293836, 0.014707752, 0.009909892, 0.019592311, -0.03260006, 0.050508883, 0.0155325895, -0.02318899, -0.009280294, -0.00054715853, 0.035641793, -0.03841018, -0.054086722, 0.042260613, -0.020135589, -0.009209342, -0.016331578, 0.013113423, 0.0073161772, -0.022116443, 0.0022690226, -0.013815287, -0.014608138, 0.011891289, -0.03987457, -0.024125988, -0.008877569, -0.542385, -0.0046418267, -0.014450025, 0.01846464, -0.0061272443, -0.03645763, 0.014598165, 0.0012847413, -0.013254723, -0.041983943, -0.0054658838, 0.048491694, 0.0032385683, 0.040096495, 0.013880233, 0.03769998, 0.057995755, 0.018937912, 0.04356247, 0.029422382, -0.005512912, -0.008185129, 0.03007349, 0.04359526, 0.025219219, 0.052304782, -0.056456745, 0.024315445, -0.01517588, 0.008818714, -0.042450584, -0.007820796, 0.000957012, -0.004087399, -0.0027900063, -0.00019836269, 0.03993002, -0.022075728, -0.009659706, 0.0008730084, 0.0012557252, 0.041804712, -0.008591671, 0.02663977, 0.014103868, -0.01176633, 0.01425333, -0.030660864, -0.012643644, 0.012647466, 0.003992557, -0.013068864, 0.054271225, 0.02956457, -0.0015290714, -0.04789449, 0.016195755, -0.004720862, -0.025444793, 0.040675398, 0.017635116, -0.007445805, -0.012083248, -0.006593255, -0.03685501, 0.018322079, -0.003794312, -0.038512487, 0.068935715, -0.0013345716, -0.028566675, 0.03148971, 0.045071516, -0.04984122, 0.020047592, 0.036119983, -0.024444863, 0.03837795, 0.036707856, 0.03046198, -0.08290884, -0.038781814, 0.0078084655, -0.044541225, 0.033088982, -0.05095062, -0.02788698, 0.028235609, 0.0011700212, 0.055747226, 0.049074765, -0.003699976, 0.018218154, 0.036603563, 0.03944698, 0.12145004, 0.044003617, -0.030536028, 0.013713464, -0.03582614, 0.0341466, -0.011713959, 0.028322138, -0.016736003, -0.021829609, -0.023059523, -0.0518097, 0.04348778, 0.025956193, -0.020402918, 0.022030508, 0.026951065, -0.03857684, 0.009612844, 0.04294417, -0.003245114, -0.018945828, 0.030980175, 0.030147055, -0.036157973, 0.014093662, 0.024588404, 0.008243173, -0.021246169, -0.017501911, 0.008693468, -0.0032473255, -0.001274957, 0.03229837, 0.049598627, -0.0022973216, 0.0033379667, -0.0066531445, -0.040082663, -0.025768949, -0.018924223, -0.013402923, 0.02877348, -0.03348661, -0.04335803, 0.030348256, 0.0030123033, -0.018637355, 0.031215603, 0.009703184, -0.012250483, -0.017783208, -0.0012993875, 0.03494102, 0.022051882, -0.0037361863, 0.0144340005, 0.0007772601, -0.022412954, 0.016905298, 0.0051659457, 0.019687157, -0.036714446, 0.011084603, 0.032493114, 0.04167994, 0.0052087703, -0.1340144, 0.020904416, 0.03880898, -0.004997134, -0.03379452, -0.0027288045, 0.0017003448, 0.045896202, -0.0251439, -0.04012667, 0.008189411, 0.009342803, -0.008737683, -0.016964946, -0.013769445, -0.0039055822, 9.105085e-05, -0.0014306931, -0.01370459, -0.03021115, -0.03371149, 0.019536795, 0.034956485, -0.035423536, -0.0001793012, 0.031117702, -0.03684463, -0.03441676, -0.0032415327, 0.023432557, 0.04477826, 0.021365063, -0.016579695, -0.041772667, -0.007235941, 0.051481932, 0.020723345, 0.0027636953, -0.01670209, 0.010251357, -0.005765525, -0.008929097, 0.030185755, -0.047766156, 0.045013517, 0.007230817, -0.0021736303, 0.016125442, -0.030083746, -0.060406208, -0.04190568, 0.024696488, -0.01143736, -0.032770127, 0.005331429, -0.01818162, -0.03302437, 0.004453679, 0.07522827, -0.0026776046, -0.04824753, -0.003460575, -0.018161483, 0.0011453037, 0.0049157077, -0.07813969, 0.018300964, -0.0051002055, 0.02079756, 0.0035663457, -0.007433807, 0.04271708, -0.009733036, -0.0118808625, 0.013809495, 0.059501708, -0.021575449, -0.05935755, -0.0035455024, -0.02693452, -0.017190132, -0.016059617, -0.014253175, 0.049172483, 0.021585494, -0.019737553, -0.042685244, -0.0142481, 0.0101315025, 0.017116902, -0.026357282, -0.04408546, 0.040629655, -0.0049285134, -0.01832608, -0.03478675, -0.0026891741, 0.011267896, -0.013378763, 0.00038937217, -0.033136602, -0.019912021, 0.0005154215, -0.014184948, -0.0039172196, -0.034798123, 0.020901538, -0.031190442, -0.0188423, 0.00089758966, -0.031973753, 0.041402347, -0.024570376, 0.009384613, -0.015127522, -0.0066246563, 0.0053242114, 0.018116094, 0.03593241, 0.0138109075, 0.0054535866, -0.006286201, -0.016241968, -0.014714209, 0.044731583, 0.0049299267, 0.018034935, -0.021785134, 0.0039582113, 0.007881306, 0.0025793097, -0.042218346, 0.009456891, 0.036283787, 0.0146247605, -0.0098402975, 0.0037902303, -0.03996696, -0.024825035, -0.002218162, 0.02680719, -0.06429411, 0.0041645677, 0.036587194, 0.016344147, -0.011895876, -0.0047728666, -0.012840077, 0.024035104, -0.004805998, 0.013976597, 0.04548439, -0.0342657, -0.013345326, 0.035000067, -0.045974903, -0.0014153081, 0.025639469, 0.015180726, -0.025232967, 0.062155142, -0.0074546896, -0.026970528, 0.024351746, 0.009845394, -0.0030415193, 0.018005231, 0.028550927, 0.058446534, 0.052299928, -0.005342624, -0.017217442, -0.00256019, -0.042966325, 0.05070154, -0.001058939, -0.00032248945, -0.0008024313, 0.03253681, -0.0052430714, 0.004956301, -0.002408752, -0.0053530117, 0.021631103, 0.05547592, -0.009938055, -0.034457657, 0.027521914, 0.01240609, 0.0119028855, 0.0024289973, -0.025401114, 0.0033537287, -0.046087854, 0.0025625397, 0.02055915, -0.03852718, -0.08814635, 0.017578295, 0.007510919, -0.03178676, 0.018278323, 0.04088973, 0.01573187, 0.030416224, 0.024065565, -0.01635669, 0.011522964, -0.019805027, -0.021166855, 0.02497459, 0.01471735, -0.02437242, -0.035158277, 0.0053584804, 0.00015995267, 0.015659729, -0.01616051, -0.0059671486, -0.0074259965, -0.037194114, 0.01918367, 0.018669305, 0.00238937, -0.013435635, 0.007787304, -0.011909712, -0.0062326887, -0.0015110573, -0.034982253, -0.017865727, 0.04694295, -0.019256044, -0.011459812, -0.03279024, 0.037504967, 0.015645733, -0.0028296127, 0.004721716, 0.036797892, 0.02626419, 0.046068672, -0.04375198, 0.010342184, -0.029382963, -0.0058292556, -0.06746073, 0.008030204, 0.008024782, 0.005700028, -0.015520733, -0.004093155, -0.00010534809, 0.012893204, 0.0023931228, 0.01126746, 0.016491586, 0.03830754, 0.0028571405, 0.03271654, -0.0043229614, 0.0045110187, -0.009153749, 0.024263687, 0.0055661257, 0.014400457, -0.05771059, 0.018285295, -0.0006046087, -0.016670952, -0.01840553, 0.026424669, -0.007238593, -0.021955099, 0.010399976, -0.034346763, -0.0034545392, -0.029662624, -0.036934648, -0.0053665936, 0.022613026, 0.030365573, -0.22286756, 0.0279257, 0.009698295, -0.0027735352, 0.009148371, 0.034103528, -0.0014950859, -0.0013396575, 0.010589369, -0.0033245191, 0.01820751, 0.048688825, 0.012388272, -0.0005483876, 0.008158384, 0.0049483883]
]

res = client.search(
    collection_name=COLLECTION_NAME,
    #highlight-next-line
    data=SEARCH_VECTORS_1,
    output_fields=["title", "link"],
    limit=3
)

print(res)

# Output
#
# [
#     [
#         {
#             "id": 13,
#             "distance": 1.000000238418579,
#             "entity": {
#                 "title": "Trying to Do It All? Why Delegating Will Get You Better Results",
#                 "link": "https://medium.com/swlh/trying-to-do-it-all-why-delegating-will-get-you-better-results-3666ca65a84d"
#             }
#         },
#         {
#             "id": 144,
#             "distance": 0.7938575744628906,
#             "entity": {
#                 "title": "Want Product/Market Fit? Double Your Effort to Understand Failure",
#                 "link": "https://medium.com/swlh/want-product-market-fit-double-your-effort-to-understand-failure-b5341b0fe11a"
#             }
#         },
#         {
#             "id": 51,
#             "distance": 0.769919753074646,
#             "entity": {
#                 "title": "What if Facebook had to pay you for the profit they are making?",
#                 "link": "https://medium.com/swlh/what-if-facebook-had-to-pay-you-for-the-profit-they-are-making-7571115139a7"
#             }
#         }
#     ]
# ]



# 6. bulk vector search

SEARCH_VECTORS_2 = [
    [0.067084685, 0.012763148, -0.019562697, 0.041436773, -0.0071800495, 0.0068031778, 0.026846228, 0.0018171414, -0.017885696, -5.144758e-06, 0.021773607, 0.03877538, -0.04305705, 0.0040129432, -0.026112838, 0.02804271, 0.039550524, 0.009657041, 0.006124304, -0.03587743, -0.047360566, 0.047994304, -0.0026333537, -0.009287217, -0.009531011, -0.011128416, -0.0008089687, -0.012472947, -0.029548844, 0.018742273, -0.010443951, 0.03686704, -0.0062725404, -0.033065494, -0.037441205, -0.021756195, 0.015326248, -0.021178713, 0.004664664, -0.058233317, 0.00014567704, -0.004691694, -0.020430796, 0.018015612, -0.025032096, -0.0017203568, -0.15430935, -0.021535715, -0.023457527, 0.0091514895, 0.010723129, 0.029708661, 0.013871869, 0.033172037, -0.0039122645, 0.042791307, 0.0011374152, 0.008869271, 0.0029381646, -0.03368228, -0.0060222964, 0.0043577226, -0.013947957, 0.009290493, -0.012540634, 0.00273017, 0.022820204, 0.026924528, -0.022086479, -0.060783494, 0.016817782, -0.048939366, 0.019599559, 0.006206328, -0.002290718, -0.03590918, -0.018897992, -0.0042805285, 0.011843795, -0.017050676, -0.013486483, 0.020436956, 0.007546162, -0.02693981, 0.030861974, -0.013079769, -0.0062708417, 0.05667484, -0.011895964, -0.019626874, 0.019658655, -0.01592551, 0.048192456, 0.025277842, 0.012791405, -0.01912894, 0.018978393, -0.014250473, 0.01703835, 0.03480962, 0.0063537387, -0.042249113, -0.00043459053, -0.0018622469, -0.009442041, 0.017618423, 0.031027863, -0.022231897, -0.0376824, -0.04357785, -0.03438631, 0.029176407, -0.029065061, 0.017853128, -0.03679002, -0.01343899, 0.010235031, -0.0064424444, -0.013969234, -0.02093429, 0.03242403, 0.081176125, 0.047020823, -0.0053490726, 0.026101233, -0.011347566, 0.007888563, 0.033007886, -0.0329995, 0.020665517, 0.04136607, 0.035906706, -0.03490551, -0.0053841537, -0.011719225, -0.051888738, 0.013233477, 0.024516504, 0.022379812, -0.019201498, -0.06641265, 0.009281021, -0.117206626, 0.01930055, 0.013030688, -0.020969143, -0.009417929, 0.006143121, 0.011270797, -0.00027001393, 0.010003906, 0.01708631, -0.016258342, 0.024448106, 0.016732391, 0.037978027, -0.016748767, -0.05220301, -0.001617842, 0.009138166, 0.012382751, -0.015260991, 0.0054500694, -0.028620195, 0.008110576, -0.033788614, 0.0039199656, 0.020877296, -0.0019069016, 0.02486228, -0.054951686, 0.016345063, 0.0031373682, -0.018256962, -0.032652415, -0.0015583407, 0.035434894, 0.0057147266, 0.017852651, 0.019489108, -0.059383944, 0.047080282, 0.013476704, -0.034344416, -0.021401603, -0.0047124117, 0.03282476, 0.0310293, 0.0059062857, 0.017943364, -0.025785094, -0.008369121, 0.043759152, -0.05713893, 0.080261536, -0.019094586, -0.030248133, 0.031530432, -0.0078049167, -0.0072037927, 0.0037481654, -0.0052728076, 0.00545658, -0.03494784, -0.040497135, 0.12920712, 0.03730018, 0.013103399, -0.02073502, 0.023221344, 0.021372316, -0.020007843, -0.02039844, -0.034015827, -0.024792869, 0.02398402, -1.8960509e-05, 0.042674873, 0.023521705, -0.020507248, 0.049451265, -0.008896, 0.017111603, 0.04130102, 0.0117504895, 0.043999847, 0.013219506, 0.035527136, 0.01432157, -0.07690921, 0.0035484403, 0.0522345, 0.004887539, -0.04470897, 0.014145424, -0.002322764, -0.0006711694, -0.005171149, 0.009290426, -0.018422173, -0.016586823, 0.0136319, 0.001188213, 0.057175174, -0.017342528, 0.027671505, -0.042186387, 0.011572681, -0.021391649, -0.0033423735, -0.037542935, 0.005212495, -0.024934493, -0.032270443, 0.010533489, 0.016265279, -0.012949663, -0.0015713088, -0.0036994736, 0.028886143, -0.033987533, -0.014176839, -0.041233867, -0.0067877164, 0.021908464, -0.005136184, -0.04080503, -0.069470644, 0.021477029, 0.0458543, 0.023247648, 0.030698316, -0.039564475, -0.088643864, -0.02261754, 0.0045118416, 0.024566436, 0.046393085, -0.02216351, 0.00024930306, -0.021449536, 0.048293836, 0.014707752, 0.009909892, 0.019592311, -0.03260006, 0.050508883, 0.0155325895, -0.02318899, -0.009280294, -0.00054715853, 0.035641793, -0.03841018, -0.054086722, 0.042260613, -0.020135589, -0.009209342, -0.016331578, 0.013113423, 0.0073161772, -0.022116443, 0.0022690226, -0.013815287, -0.014608138, 0.011891289, -0.03987457, -0.024125988, -0.008877569, -0.542385, -0.0046418267, -0.014450025, 0.01846464, -0.0061272443, -0.03645763, 0.014598165, 0.0012847413, -0.013254723, -0.041983943, -0.0054658838, 0.048491694, 0.0032385683, 0.040096495, 0.013880233, 0.03769998, 0.057995755, 0.018937912, 0.04356247, 0.029422382, -0.005512912, -0.008185129, 0.03007349, 0.04359526, 0.025219219, 0.052304782, -0.056456745, 0.024315445, -0.01517588, 0.008818714, -0.042450584, -0.007820796, 0.000957012, -0.004087399, -0.0027900063, -0.00019836269, 0.03993002, -0.022075728, -0.009659706, 0.0008730084, 0.0012557252, 0.041804712, -0.008591671, 0.02663977, 0.014103868, -0.01176633, 0.01425333, -0.030660864, -0.012643644, 0.012647466, 0.003992557, -0.013068864, 0.054271225, 0.02956457, -0.0015290714, -0.04789449, 0.016195755, -0.004720862, -0.025444793, 0.040675398, 0.017635116, -0.007445805, -0.012083248, -0.006593255, -0.03685501, 0.018322079, -0.003794312, -0.038512487, 0.068935715, -0.0013345716, -0.028566675, 0.03148971, 0.045071516, -0.04984122, 0.020047592, 0.036119983, -0.024444863, 0.03837795, 0.036707856, 0.03046198, -0.08290884, -0.038781814, 0.0078084655, -0.044541225, 0.033088982, -0.05095062, -0.02788698, 0.028235609, 0.0011700212, 0.055747226, 0.049074765, -0.003699976, 0.018218154, 0.036603563, 0.03944698, 0.12145004, 0.044003617, -0.030536028, 0.013713464, -0.03582614, 0.0341466, -0.011713959, 0.028322138, -0.016736003, -0.021829609, -0.023059523, -0.0518097, 0.04348778, 0.025956193, -0.020402918, 0.022030508, 0.026951065, -0.03857684, 0.009612844, 0.04294417, -0.003245114, -0.018945828, 0.030980175, 0.030147055, -0.036157973, 0.014093662, 0.024588404, 0.008243173, -0.021246169, -0.017501911, 0.008693468, -0.0032473255, -0.001274957, 0.03229837, 0.049598627, -0.0022973216, 0.0033379667, -0.0066531445, -0.040082663, -0.025768949, -0.018924223, -0.013402923, 0.02877348, -0.03348661, -0.04335803, 0.030348256, 0.0030123033, -0.018637355, 0.031215603, 0.009703184, -0.012250483, -0.017783208, -0.0012993875, 0.03494102, 0.022051882, -0.0037361863, 0.0144340005, 0.0007772601, -0.022412954, 0.016905298, 0.0051659457, 0.019687157, -0.036714446, 0.011084603, 0.032493114, 0.04167994, 0.0052087703, -0.1340144, 0.020904416, 0.03880898, -0.004997134, -0.03379452, -0.0027288045, 0.0017003448, 0.045896202, -0.0251439, -0.04012667, 0.008189411, 0.009342803, -0.008737683, -0.016964946, -0.013769445, -0.0039055822, 9.105085e-05, -0.0014306931, -0.01370459, -0.03021115, -0.03371149, 0.019536795, 0.034956485, -0.035423536, -0.0001793012, 0.031117702, -0.03684463, -0.03441676, -0.0032415327, 0.023432557, 0.04477826, 0.021365063, -0.016579695, -0.041772667, -0.007235941, 0.051481932, 0.020723345, 0.0027636953, -0.01670209, 0.010251357, -0.005765525, -0.008929097, 0.030185755, -0.047766156, 0.045013517, 0.007230817, -0.0021736303, 0.016125442, -0.030083746, -0.060406208, -0.04190568, 0.024696488, -0.01143736, -0.032770127, 0.005331429, -0.01818162, -0.03302437, 0.004453679, 0.07522827, -0.0026776046, -0.04824753, -0.003460575, -0.018161483, 0.0011453037, 0.0049157077, -0.07813969, 0.018300964, -0.0051002055, 0.02079756, 0.0035663457, -0.007433807, 0.04271708, -0.009733036, -0.0118808625, 0.013809495, 0.059501708, -0.021575449, -0.05935755, -0.0035455024, -0.02693452, -0.017190132, -0.016059617, -0.014253175, 0.049172483, 0.021585494, -0.019737553, -0.042685244, -0.0142481, 0.0101315025, 0.017116902, -0.026357282, -0.04408546, 0.040629655, -0.0049285134, -0.01832608, -0.03478675, -0.0026891741, 0.011267896, -0.013378763, 0.00038937217, -0.033136602, -0.019912021, 0.0005154215, -0.014184948, -0.0039172196, -0.034798123, 0.020901538, -0.031190442, -0.0188423, 0.00089758966, -0.031973753, 0.041402347, -0.024570376, 0.009384613, -0.015127522, -0.0066246563, 0.0053242114, 0.018116094, 0.03593241, 0.0138109075, 0.0054535866, -0.006286201, -0.016241968, -0.014714209, 0.044731583, 0.0049299267, 0.018034935, -0.021785134, 0.0039582113, 0.007881306, 0.0025793097, -0.042218346, 0.009456891, 0.036283787, 0.0146247605, -0.0098402975, 0.0037902303, -0.03996696, -0.024825035, -0.002218162, 0.02680719, -0.06429411, 0.0041645677, 0.036587194, 0.016344147, -0.011895876, -0.0047728666, -0.012840077, 0.024035104, -0.004805998, 0.013976597, 0.04548439, -0.0342657, -0.013345326, 0.035000067, -0.045974903, -0.0014153081, 0.025639469, 0.015180726, -0.025232967, 0.062155142, -0.0074546896, -0.026970528, 0.024351746, 0.009845394, -0.0030415193, 0.018005231, 0.028550927, 0.058446534, 0.052299928, -0.005342624, -0.017217442, -0.00256019, -0.042966325, 0.05070154, -0.001058939, -0.00032248945, -0.0008024313, 0.03253681, -0.0052430714, 0.004956301, -0.002408752, -0.0053530117, 0.021631103, 0.05547592, -0.009938055, -0.034457657, 0.027521914, 0.01240609, 0.0119028855, 0.0024289973, -0.025401114, 0.0033537287, -0.046087854, 0.0025625397, 0.02055915, -0.03852718, -0.08814635, 0.017578295, 0.007510919, -0.03178676, 0.018278323, 0.04088973, 0.01573187, 0.030416224, 0.024065565, -0.01635669, 0.011522964, -0.019805027, -0.021166855, 0.02497459, 0.01471735, -0.02437242, -0.035158277, 0.0053584804, 0.00015995267, 0.015659729, -0.01616051, -0.0059671486, -0.0074259965, -0.037194114, 0.01918367, 0.018669305, 0.00238937, -0.013435635, 0.007787304, -0.011909712, -0.0062326887, -0.0015110573, -0.034982253, -0.017865727, 0.04694295, -0.019256044, -0.011459812, -0.03279024, 0.037504967, 0.015645733, -0.0028296127, 0.004721716, 0.036797892, 0.02626419, 0.046068672, -0.04375198, 0.010342184, -0.029382963, -0.0058292556, -0.06746073, 0.008030204, 0.008024782, 0.005700028, -0.015520733, -0.004093155, -0.00010534809, 0.012893204, 0.0023931228, 0.01126746, 0.016491586, 0.03830754, 0.0028571405, 0.03271654, -0.0043229614, 0.0045110187, -0.009153749, 0.024263687, 0.0055661257, 0.014400457, -0.05771059, 0.018285295, 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-0.023438789, 0.03528865, -0.009152654, -0.008653632, 0.0082724, -0.0025690612, 0.03129816, -0.007876752, -0.017509712, 0.024677664, 0.0370758, 0.021148562, -0.27696472, 0.0028338798, -0.014097512, -0.019267568, -0.03345135, 0.006941969, 0.010284976, 0.0012813237, -0.007259589, 0.006475924, 0.012507553, 0.033468552, 0.025855746, -0.03161831, 0.0067092087, 0.034458436] 
]

res = client.search(
    collection_name=COLLECTION_NAME,
    #highlight-next-line
    data=SEARCH_VECTORS_2,
    output_fields=["title", "link"],
    limit=3
)

print(res)

# Output
#
# [
#     [
#         {
#             "id": 13,
#             "distance": 1.000000238418579,
#             "entity": {
#                 "title": "Trying to Do It All? Why Delegating Will Get You Better Results",
#                 "link": "https://medium.com/swlh/trying-to-do-it-all-why-delegating-will-get-you-better-results-3666ca65a84d"
#             }
#         },
#         {
#             "id": 144,
#             "distance": 0.7938575744628906,
#             "entity": {
#                 "title": "Want Product/Market Fit? Double Your Effort to Understand Failure",
#                 "link": "https://medium.com/swlh/want-product-market-fit-double-your-effort-to-understand-failure-b5341b0fe11a"
#             }
#         },
#         {
#             "id": 51,
#             "distance": 0.769919753074646,
#             "entity": {
#                 "title": "What if Facebook had to pay you for the profit they are making?",
#                 "link": "https://medium.com/swlh/what-if-facebook-had-to-pay-you-for-the-profit-they-are-making-7571115139a7"
#             }
#         }
#     ],
#     [
#         {
#             "id": 2,
#             "distance": 1.0,
#             "entity": {
#                 "title": "How Can We Best Switch in Python?",
#                 "link": "https://medium.com/swlh/how-can-we-best-switch-in-python-458fb33f7835"
#             }
#         },
#         {
#             "id": 140,
#             "distance": 0.8028181195259094,
#             "entity": {
#                 "title": "How I Implemented a Swift HTTP Request Helper Without a Working Server",
#                 "link": "https://medium.com/swlh/how-i-implemented-a-swift-http-request-helper-without-a-working-server-9f315bd7d0ae"
#             }
#         },
#         {
#             "id": 108,
#             "distance": 0.8000683784484863,
#             "entity": {
#                 "title": "What Is Natural Language Processing? A Gentle Introduction to NLP",
#                 "link": "https://towardsdatascience.com/what-is-natural-language-processing-a-gentle-introduction-to-nlp-4ed219a768ad"
#             }
#         }
#     ]
# ]


# 7-1. search with filters

res = client.search(
    collection_name=COLLECTION_NAME,
    data=SEARCH_VECTORS_1,
    # highlight-start
    filter="10 < reading_time < 15",
    output_fields=["title", "reading_time"],
    # highlight-end
    limit=3
)

print(res)

# Output
#
# [
#     [
#         {
#             "id": 46,
#             "distance": 0.7317952513694763,
#             "entity": {
#                 "title": "The Right Way to Delegate Tasks to Your Employees",
#                 "reading_time": 11
#             }
#         },
#         {
#             "id": 7,
#             "distance": 0.7186760902404785,
#             "entity": {
#                 "title": "Building Comprehensible Customer Churn Prediction Models",
#                 "reading_time": 13
#             }
#         },
#         {
#             "id": 40,
#             "distance": 0.7009614109992981,
#             "entity": {
#                 "title": "Actively Fighting Distraction",
#                 "reading_time": 12
#             }
#         }
#     ]
# ]


# 7-2. search with filters

res = client.search(
    collection_name=COLLECTION_NAME,
    data=SEARCH_VECTORS_1,
    # highlight-start
    filter='claps > 1500 and responses > 15',
    output_fields=['title', 'claps', 'responses'],
    # highlight-end
    limit=3
)

print(res)

# Output
#
# [
#     [
#         {
#             "id": 130,
#             "distance": 0.7031335830688477,
#             "entity": {
#                 "title": "The Only \u201cCompetition\u201d Slide You\u2019ll Ever Need in a Pitch Deck",
#                 "claps": 1940,
#                 "responses": 25
#             }
#         },
#         {
#             "id": 66,
#             "distance": 0.6701224446296692,
#             "entity": {
#                 "title": "How to Be Memorable in Social Settings",
#                 "claps": 8600,
#                 "responses": 34
#             }
#         },
#         {
#             "id": 69,
#             "distance": 0.5535616278648376,
#             "entity": {
#                 "title": "Top 10 In-Demand programming languages to learn in 2020",
#                 "claps": 3000,
#                 "responses": 18
#             }
#         }
#     ]
# ]

# 7-3. search with filters

res = client.search(
    collection_name=COLLECTION_NAME,
    data=SEARCH_VECTORS_1,
    # highlight-start
    filter='publication == "Towards Data Science"',
    output_fields=["title", "publication"],
    # highlight-end
    limit=3
)

print(res)

# Output
#
# [
#     [
#         {
#             "id": 84,
#             "distance": 0.7343761324882507,
#             "entity": {
#                 "title": "Diving deeper into Unity-ML Agents",
#                 "publication": "Towards Data Science"
#             }
#         },
#         {
#             "id": 70,
#             "distance": 0.6936983466148376,
#             "entity": {
#                 "title": "How bad will the Coronavirus Outbreak get? \u2014 Predicting the outbreak figures",
#                 "publication": "Towards Data Science"
#             }
#         },
#         {
#             "id": 94,
#             "distance": 0.6913699507713318,
#             "entity": {
#                 "title": "Why Machine Learning Validation Sets Grow Stale",
#                 "publication": "Towards Data Science"
#             }
#         }
#     ]
# ]

# 7-4. search with filters

res = client.search(
    collection_name=COLLECTION_NAME,
    data=SEARCH_VECTORS_1,
    # highlight-start
    filter='publication not in ["Towards Data Science", "Personal Growth"]',
    output_fields=["title", "publication"],
    # highlight-end
    limit=3
)

print(res)

# Output
#
# [
#     [
#         {
#             "id": 13,
#             "distance": 1.000000238418579,
#             "entity": {
#                 "title": "Trying to Do It All? Why Delegating Will Get You Better Results",
#                 "publication": "The Startup"
#             }
#         },
#         {
#             "id": 144,
#             "distance": 0.7938575744628906,
#             "entity": {
#                 "title": "Want Product/Market Fit? Double Your Effort to Understand Failure",
#                 "publication": "The Startup"
#             }
#         },
#         {
#             "id": 51,
#             "distance": 0.769919753074646,
#             "entity": {
#                 "title": "What if Facebook had to pay you for the profit they are making?",
#                 "publication": "The Startup"
#             }
#         }
#     ]
# ]

# 7-5. search with filters

res = client.search(
    collection_name=COLLECTION_NAME,
    data=SEARCH_VECTORS_1,
    # highlight-start
    filter='title like "Top%"',
    output_fields=["title", "link"],
    # highlight-end
    limit=3
)

print(res)

# Output
#
# [
#     [
#         {
#             "id": 76,
#             "distance": 0.5861995220184326,
#             "entity": {
#                 "title": "Top 20 Data Science Discord servers to join in 2020",
#                 "link": "https://towardsdatascience.com/top-20-data-science-discord-servers-to-join-in-2020-567b45738e9d"
#             }
#         },
#         {
#             "id": 74,
#             "distance": 0.5774341821670532,
#             "entity": {
#                 "title": "Top 10 Artificial Intelligence Trends for 2020",
#                 "link": "https://towardsdatascience.com/top-10-ai-trends-for-2020-d6294cfee2bd"
#             }
#         },
#         {
#             "id": 97,
#             "distance": 0.5768393874168396,
#             "entity": {
#                 "title": "Top 5 AI Conferences To Visit in Europe in 2020",
#                 "link": "https://towardsdatascience.com/top-5-ai-conferences-to-visit-in-europe-in-2020-7a6f068aff34"
#             }
#         }
#     ]
# ]

# 7-6. search with filters

res = client.search(
    collection_name=COLLECTION_NAME,
    data=SEARCH_VECTORS_1,
    # highlight-start
    filter='(publication == "Towards Data Science") and ((claps > 1500 and responses > 15) or (10 < reading_time < 15))',
    output_fields=["title", "publication", "claps", "responses", "reading_time"],
    # highlight-end
    limit=3
)

print(res)

# Output
#
# [
#     [
#         {
#             "id": 79,
#             "distance": 0.6686539053916931,
#             "entity": {
#                 "title": "Rage Quitting Cancer Research",
#                 "reading_time": 12,
#                 "publication": "Towards Data Science",
#                 "claps": 331,
#                 "responses": 3
#             }
#         },
#         {
#             "id": 103,
#             "distance": 0.662158727645874,
#             "entity": {
#                 "title": "A Primer on Domain Adaptation",
#                 "reading_time": 12,
#                 "publication": "Towards Data Science",
#                 "claps": 74,
#                 "responses": 0
#             }
#         },
#         {
#             "id": 99,
#             "distance": 0.6571633219718933,
#             "entity": {
#                 "title": "Finding optimal NBA physiques using data visualization with Python",
#                 "reading_time": 13,
#                 "publication": "Towards Data Science",
#                 "claps": 89,
#                 "responses": 0
#             }
#         }
#     ]
# ]


# 8. Perform a query
res = client.query(
    collection_name=COLLECTION_NAME,
    filter='(publication == "Towards Data Science") and ((claps > 1500 and responses > 15) or (10 < reading_time < 15))',
    output_fields=["title", "vector", "publication", "claps", "responses", "reading_time"],
    limit=3,
)

print(res)

# Output
#
# [
#     {
#         "title": "Top 10 In-Demand programming languages to learn in 2020",
#         "reading_time": 21,
#         "publication": "Towards Data Science",
#         "claps": 3000,
#         "responses": 18,
#         "vector": [
#             -0.025530046,
#             -0.0092489105,
#             0.012318489,
#             0.037440233,
#             0.016410477,
#             0.022736127,
#             -0.001499891,
#             0.034556553,
#             -0.0059547457,
#             -0.055044662,
#             "(758 more items hidden)"
#         ],
#         "id": 69
#     },
#     {
#         "title": "Data Cleaning in Python: the Ultimate Guide (2020)",
#         "reading_time": 12,
#         "publication": "Towards Data Science",
#         "claps": 1500,
#         "responses": 7,
#         "vector": [
#             -3.8504484e-05,
#             -0.04375324,
#             0.030649282,
#             0.021253644,
#             -0.013177449,
#             -0.026897375,
#             0.0068761935,
#             -0.029512206,
#             -0.015405618,
#             -0.040675893,
#             "(758 more items hidden)"
#         ],
#         "id": 73
#     },
#     {
#         "title": "Top Trends of Graph Machine Learning in 2020",
#         "reading_time": 11,
#         "publication": "Towards Data Science",
#         "claps": 1100,
#         "responses": 0,
#         "vector": [
#             -0.008080184,
#             -0.044017944,
#             0.058341485,
#             0.031070782,
#             0.0064219018,
#             -0.026769096,
#             -0.0072628907,
#             0.032785654,
#             -0.03337949,
#             -0.08574104,
#             "(758 more items hidden)"
#         ],
#         "id": 75
#     }
# ]



# 9. Retrieve a single entity by ID
res = client.get(
    collection_name=COLLECTION_NAME,
    ids=1
)

print(res)

# Output
#
# [
#     {
#         "id": 1,
#         "vector": [
#             0.0039737443,
#             0.003020432,
#             -0.0006188639,
#             0.03913546,
#             -0.00089768134,
#             0.021238148,
#             0.014454661,
#             0.025742851,
#             0.0022063442,
#             -0.051130578,
#             "(758 more items hidden)"
#         ],
#         "title": "Dashboards in Python: 3 Advanced Examples for Dash Beginners and Everyone Else",
#         "link": "https://medium.com/swlh/dashboards-in-python-3-advanced-examples-for-dash-beginners-and-everyone-else-b1daf4e2ec0a",
#         "reading_time": 14,
#         "publication": "The Startup",
#         "claps": 726,
#         "responses": 3
#     }
# ]



# 10. Retrieve a set of entities by their IDs
res = client.get(
    collection_name=COLLECTION_NAME,
    ids=[1, 2, 3]
)

print(res)

# Output
#
# [
#     {
#         "title": "Dashboards in Python: 3 Advanced Examples for Dash Beginners and Everyone Else",
#         "link": "https://medium.com/swlh/dashboards-in-python-3-advanced-examples-for-dash-beginners-and-everyone-else-b1daf4e2ec0a",
#         "reading_time": 14,
#         "publication": "The Startup",
#         "claps": 726,
#         "responses": 3,
#         "id": 1,
#         "vector": [
#             0.0039737443,
#             0.003020432,
#             -0.0006188639,
#             0.03913546,
#             -0.00089768134,
#             0.021238148,
#             0.014454661,
#             0.025742851,
#             0.0022063442,
#             -0.051130578,
#             "(758 more items hidden)"
#         ]
#     },
#     {
#         "title": "How Can We Best Switch in Python?",
#         "link": "https://medium.com/swlh/how-can-we-best-switch-in-python-458fb33f7835",
#         "reading_time": 6,
#         "publication": "The Startup",
#         "claps": 500,
#         "responses": 7,
#         "id": 2,
#         "vector": [
#             0.031961977,
#             0.00047043373,
#             -0.018263113,
#             0.027324716,
#             -0.0054595284,
#             -0.014779159,
#             0.017511465,
#             0.030381083,
#             -0.018930407,
#             -0.03372473,
#             "(758 more items hidden)"
#         ]
#     },
#     {
#         "title": "Maternity leave shouldn\u2019t set women back",
#         "link": "https://medium.com/swlh/maternity-leave-shouldnt-set-women-back-5019dd3129d8",
#         "reading_time": 9,
#         "publication": "The Startup",
#         "claps": 460,
#         "responses": 1,
#         "id": 3,
#         "vector": [
#             0.032572296,
#             -0.011148319,
#             -0.01688577,
#             -0.0026665623,
#             -0.011911687,
#             -0.00067226397,
#             0.00549793,
#             0.024287743,
#             -0.006913468,
#             0.0077994824,
#             "(758 more items hidden)"
#         ]
#     }
# ]



# 11. Delete a single entity
res = client.delete(
    collection_name=COLLECTION_NAME,
    pks=0
)

print(res)

# Output
#
# None



# 12. Delete a set of entities in a batch
res = client.delete(
    collection_name=COLLECTION_NAME,
    pks=[1, 2, 3]
)

print(res)

# Output
#
# None



# 13. Drop a collection
res = client.drop_collection(
    collection_name=COLLECTION_NAME
)

print(res)

# Output
#
# None