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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) | |