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# | |
# Pyserini: Reproducible IR research with sparse and dense representations | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
# | |
from elasticsearch import Elasticsearch | |
# Create the client instance | |
client = Elasticsearch("http://localhost:9200") | |
resp = client.search(index="msmarco-v1-passage", query={"bool": { | |
"must_not": { | |
"exists": { | |
"field": "vector" | |
} | |
} | |
}}, track_total_hits=True) | |
print(resp['hits']['total']['value']) | |