vector = SearchVector('name') + SearchVector('last_name')

        q = self.strip_punctuation(query_str)
        str_vector = q.split(' ')
        if len(str_vector) > 1:
            query = SearchQuery(str_vector[0])
            for string in str_vector[1:]:
                query |= SearchQuery(string)

            QQ = queryset.annotate(search=vector).filter(search=query)
        else:
            QQ = queryset.filter(Q(last_name__istartswith=q) |
                                 Q(name__istartswith=q)
                                 )


SELECT "id", "polymorphic_ctype_id", "level", "company_id", "profile_id",
"email", "state", "category_id", "is_aml_cft_responsable", "name",
"middle_names", "last_name", "preferred_name", "occupation", "role",
"role_in_relation", "percentage_of_ownership", "pep", "date_created",
"last_update", "parent_client_id", "shares_held", "must_be_verified",
"ctype_sort_order", "reason_for_using_amlnz", "other_reason_for_using_amlnz",
"nature_of_the_business", "nature_of_the_transaction", "value_start",
"value_end", "value_per", "value_comment", "volume_start", "volume_end",
"volume_per", "volume_comment", "review_date", "client_number",
"registration_number", "nzbn", "risk_rating", "has_more_than_25_percent",
"has_effective_control_relationship", "is_person_for_transactions",
"is_person_acting_on_behalf", "has_call_nzbn_api", "is_archived",
"nzbn_api_response", "search_api_response", "date_of_birth", "is_the_same",
"address", "suburb", "city", "country", "post_code", "authorization_letter",
"ird_number", "country_of_establishment", "gender", "contact_person_name",
"contact_person_last_name",
 (to_tsvector(COALESCE("name", )) || to_tsvector(COALESCE("last_name", )))
   AS "search"

FROM "aml_validations_baseclient"
 WHERE
("company_id" = 1
AND
(
    to_tsvector(COALESCE("name", )) ||
    to_tsvector(COALESCE("last_name", ))
 )
 @@
    ((plainto_tsquery(William) || plainto_tsquery(Buick))) = true
 )