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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", timeout=1000) | |
print(client.info()) | |
ann_index_config = { | |
"mappings": { | |
"properties": { | |
"text-vector": { | |
"type": "dense_vector", | |
"dims": 768, | |
"index": True, | |
"similarity": "dot_product", | |
}, | |
} | |
} | |
} | |
client.indices.create(index='es-hnsw', body=ann_index_config) | |