See the SpaCy Matcher.add() documentation:

Changed in v3.0
As of spaCy v3.0, Matcher.add takes a list of patterns as the second argument (instead of a variable number of arguments). The on_match callback becomes an optional keyword argument.

patterns = [[{"TEXT": "Google"}, {"TEXT": "Now"}], [{"TEXT": "GoogleNow"}]] - matcher.add("GoogleNow", on_match, *patterns) + matcher.add("GoogleNow", patterns, on_match=on_match)

Example usage:

from spacy.matcher import Matcher

matcher = Matcher(nlp.vocab)
pattern = [{"LOWER": "hello"}, {"LOWER": "world"}]
matcher.add("HelloWorld", [pattern])
doc = nlp("hello world!")
matches = matcher(doc)

Instead of using matcher.add('Relation_name', None, pattern)

You can use: matcher.add('Relation_name', [pattern], on_match=None)

In addition, if you have multiple patterns to be extracted, an example would be as below.

import spacy
nlp = spacy.load('en_core_web_sm')

from spacy.matcher import Matcher
matcher = Matcher(nlp.vocab)

pattern1 = [{'LOWER':'solarpower'}]
pattern2 = [{'LOWER':'solar'},{'IS_PUNCT':True},{'LOWER':'power'}]
pattern3 = [{'LOWER':'solar'},{'LOWER':'power'}]

matcher.add('SolarPower', [pattern1,pattern2,pattern3])
doc = nlp(u"The Solar Power industry continues to grow a solarpower increases. Solar-power is good")
found_matches = matcher(doc)


for _,start,end in found_matches:
    span = doc[start:end]
    print(span)

Output would be:

Solar Power 
solarpower 
Solar-power

The pattern should be surrounded by 2 outside square brackets to work (bold for clarification). It then works and finds pattern in text

pattern = [[{"TEXT": "iPhone"}, {"TEXT": "X"}]]

Add the pattern to the matcher

matcher.add("IPHONE_X_PATTERN", pattern)