向量检索的客户端代码示例 本章节主要介绍向量检索的客户端代码示例。 Elasticsearch提供了标准的REST接口,以及Java、Python、Go等语言编写的客户端。 基于开源数据集SIFT1M( Elasticsearch Client,本节提供一份创建向量索引、导入向量数据和查询向量数据的代码示例,介绍如何使用客户端实现向量检索。 前提条件 客户端已经安装python依赖包。如果未安装可以执行如下命令安装: pip install numpy pip install elasticsearch7.6.0 代码示例 import numpy as np import time import json from concurrent.futures import ThreadPoolExecutor, wait from elasticsearch import Elasticsearch from elasticsearch import helpers endpoint ' 构建es客户端对象 es Elasticsearch(endpoint) 索引mapping信息 indexmapping ''' { "settings": { "index": { "vector": "true" } }, "mappings": { "properties": { "myvector": { "type": "vector", "dimension": 128, "indexing": true, "algorithm": "GRAPH", "metric": "euclidean" } } } } ''' 创建索引 def createindex(indexname, mapping): res es.indices.create(indexindexname, ignore400, bodymapping) print(res) 删除索引 def deleteindex(indexname): res es.indices.delete(indexindexname) print(res) 刷新索引 def refreshindex(indexname): res es.indices.refresh(indexindexname) print(res) 索引段合并 def mergeindex(indexname, segcnt1): start time.time() es.indices.forcemerge(indexindexname, maxnumsegmentssegcnt, requesttimeout36000) print(f"在{time.time() start}秒内完成merge")