#!/usr/bin/env python # SPDX-License-Identifier: Apache-2.0 # # The OpenSearch Contributors require contributions made to # this file be licensed under the Apache-2.0 license or a # compatible open source license. # # Modifications Copyright OpenSearch Contributors. See # GitHub history for details. import os import random from opensearchpy import OpenSearch, helpers def main() -> None: """ create, bulk index, and query kNN. then delete the index """ # connect to an instance of OpenSearch host = os.getenv("HOST", default="localhost") port = int(os.getenv("PORT", 9200)) auth = (os.getenv("USERNAME", "admin"), os.getenv("PASSWORD", "admin")) client = OpenSearch( hosts=[{"host": host, "port": port}], http_auth=auth, use_ssl=True, verify_certs=False, ssl_show_warn=False, ) # check whether an index exists index_name = "my-index" dimensions = 5 if not client.indices.exists(index_name): client.indices.create( index_name, body={ "settings": {"index.knn": True}, "mappings": { "properties": { "values": {"type": "knn_vector", "dimension": dimensions}, } }, }, ) # index data vectors = [] for i in range(10): vec = [] for _ in range(dimensions): vec.append(round(random.uniform(0, 1), 2)) vectors.append( { "_index": index_name, "_id": i, "values": vec, } ) # bulk index helpers.bulk(client, vectors) client.indices.refresh(index=index_name) # search vec = [round(random.uniform(0, 1), 2) for _ in range(dimensions)] print(f"Searching for {vec} ...") search_query = {"query": {"knn": {"values": {"vector": vec, "k": 3}}}} results = client.search(index=index_name, body=search_query) (print(hit) for hit in results["hits"]["hits"]) # delete index client.indices.delete(index=index_name) if __name__ == "__main__": main()