generall

wget --load-cookies /tmp/cookies.txt\
     "https://docs.google.com/uc?export=download&confirm=$(wget\
       --quiet --save-cookies /tmp/cookies.txt --keep-session-cookies\
       --no-check-certificate 'https://docs.google.com/uc?export=download&id=$FILE_ID'\
       -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\1\n/p')&id=$FILE_ID" \
       -O docs.rar && rm -rf /tmp/cookies.txt

generall

Colombian
Iranian
British
Irish
Welsh
American
Canadian
Australian
Israeli
Greenlandic

generall

Japan
Kingdom
Sweden
Norway
Poland
Denmark
Slovenia
Ireland
Argentina
Bolivia

generall

generall

import numpy as np
import json

fd = open('./startups.json')

# payload is now an iterator over startup data
payload = map(json.loads, fd)

# Here we load all vectors into memory, numpy array works as iterable for itself.
# Other option would be to use Mmap, if we don't want to load all data into RAM

generall

# File: neural_searcher.py

from qdrant_client import QdrantClient
from sentence_transformers import SentenceTransformer


class NeuralSearcher:

    def __init__(self, collection_name):
        self.collection_name = collection_name

generall

from qdrant_client.http.models import Filter

    ...

    city_of_interest = "Berlin"

    # Define a filter for cities
    city_filter = Filter(**{
        "must": [{
            "key": "city", # We store city information in a field of the same name 

generall

# File: service.py

from fastapi import FastAPI

# That is the file where NeuralSearcher is stored
from neural_searcher import NeuralSearcher

app = FastAPI()

# Create an instance of the neural searcher

generall

-0.836976	-0.82773167	-0.2321338	0.01756154	-0.33699885	-0.87920535	1.121577	-0.48148146	0.12505984	-0.5362323	-0.04594946	0.21799839	-0.9739923	0.06835833	-0.0905306	-0.4682897	0.21512008	-0.19464707	-0.93475235	-0.5278779	0.07396773	-0.7966168	-0.9158848	0.3736219	0.91806734	0.16620624	0.4292583	0.24501403	0.7698505	0.80631876	-0.40066087	0.06443666	-0.94286495	0.9055134	-0.32404503	0.029998884	0.69158125	0.5815438	-0.019293755	-0.67045003	-0.02590625	0.6856051	0.43317997	-0.022387378	-0.2444922	-0.63252854	0.49054447	0.4057305	0.15405568	0.42062312	0.8911598	-0.107649505	-0.1934745	-0.21087441	-0.98097706	0.7977838	-0.3478621	0.25571245	-0.59421146	-0.18338741	0.33044222	0.11104743	0.0024537258	-0.79205513	0.7596757	-0.18430562	0.2074007	0.24703579	-0.051154852	0.3755078	-0.028878666	-0.7895112	-0.2619388	0.31705666	-0.26749983	1.5598425	0.20117877	-0.8625497	-0.08463721	0.07981754	0.3533825	-0.22829238	-0.8085298	0.83868784	-1.3574781	-0.23162451	0.75115657	-0.67257035	0.20241697	0.09624748	0.11910073	-0.

generall

import asyncio
import time
from multiprocessing import Pool

import httpx
import numpy as np
from grpclib.client import Channel
from qdrant_client import QdrantClient
from qdrant_client.grpc import PointsStub, WithPayloadSelector
from qdrant_client.http.models import Distance, OptimizersConfigDiff, \