长度

length 过滤器可移除不符合指定长度要求的标记，让您可以控制文本处理过程中保留的标记长度。

配置

length 过滤器是 Milvus 中的自定义过滤器，通过在过滤器配置中设置"type": "length" 来指定。您可以在analyzer_params 中将其配置为字典，以定义长度限制。

analyzer_params = {
    "tokenizer": "standard",
    "filter":[{
        "type": "length", # Specifies the filter type as length
        "max": 10, # Sets the maximum token length to 10 characters
    }],
}

Map<String, Object> analyzerParams = new HashMap<>();
analyzerParams.put("tokenizer", "standard");
analyzerParams.put("filter",
        Collections.singletonList(new HashMap<String, Object>() {{
            put("type", "length");
            put("max", 10);
        }}));

cosnt analyzer_params = {
    "tokenizer": "standard",
    "filter":[{
        "type": "length", # Specifies the filter type as length
        "max": 10, # Sets the maximum token length to 10 characters
    }],
};

analyzerParams = map[string]any{"tokenizer": "standard",
    "filter": []any{map[string]any{
        "type": "length",
        "max":  10,
    }}}

# restful
analyzerParams='{
  "tokenizer": "standard",
  "filter": [
    {
      "type": "length",
      "max": 10
    }
  ]
}'

length 过滤器接受以下可配置参数。

参数	说明
max	设置最大标记长度。超过此长度的标记将被删除。

length 过滤器对标记符生成器生成的术语进行操作，因此必须与标记符结合使用。有关 Milvus 中可用的标记符列表，请参阅标准标记符及其同类页面。

定义analyzer_params 后，可以在定义 Collections Schema 时将其应用到VARCHAR 字段。这样，Milvus 就可以使用指定的分析器对该字段中的文本进行处理，从而实现高效的标记化和过滤。有关详情，请参阅示例使用。

示例

在将分析器配置应用到 Collections 模式之前，请使用run_analyzer 方法验证其行为。

分析器配置

analyzer_params = {
    "tokenizer": "standard",
    "filter":[{
        "type": "length", # Specifies the filter type as length
        "max": 10, # Sets the maximum token length to 10 characters
    }],
}

Map<String, Object> analyzerParams = new HashMap<>();
analyzerParams.put("tokenizer", "standard");
analyzerParams.put("filter",
        Collections.singletonList(new HashMap<String, Object>() {{
            put("type", "length");
            put("max", 10);
        }}));

// javascript

analyzerParams = map[string]any{"tokenizer": "standard",
    "filter": []any{map[string]any{
        "type": "length",
        "max":  10,
    }}}

# restful

验证使用run_analyzerCompatible with Milvus 2.5.11+

from pymilvus import (
    MilvusClient,
)

client = MilvusClient(uri="http://localhost:19530")

# Sample text to analyze
sample_text = "The length filter allows control over token length requirements for text processing."

# Run the standard analyzer with the defined configuration
result = client.run_analyzer(sample_text, analyzer_params)
print("Standard analyzer output:", result)

import io.milvus.v2.client.ConnectConfig;
import io.milvus.v2.client.MilvusClientV2;
import io.milvus.v2.service.vector.request.RunAnalyzerReq;
import io.milvus.v2.service.vector.response.RunAnalyzerResp;

ConnectConfig config = ConnectConfig.builder()
        .uri("http://localhost:19530")
        .build();
MilvusClientV2 client = new MilvusClientV2(config);

List<String> texts = new ArrayList<>();
texts.add("The length filter allows control over token length requirements for text processing.");

RunAnalyzerResp resp = client.runAnalyzer(RunAnalyzerReq.builder()
        .texts(texts)
        .analyzerParams(analyzerParams)
        .build());
List<RunAnalyzerResp.AnalyzerResult> results = resp.getResults();

// javascript

import (
    "context"
    "encoding/json"
    "fmt"

    "github.com/milvus-io/milvus/client/v2/milvusclient"
)

client, err := milvusclient.New(ctx, &milvusclient.ClientConfig{
    Address: "localhost:19530",
    APIKey:  "root:Milvus",
})
if err != nil {
    fmt.Println(err.Error())
    // handle error
}

bs, _ := json.Marshal(analyzerParams)
texts := []string{"The length filter allows control over token length requirements for text processing."}
option := milvusclient.NewRunAnalyzerOption(texts).
    WithAnalyzerParams(string(bs))

result, err := client.RunAnalyzer(ctx, option)
if err != nil {
    fmt.Println(err.Error())
    // handle error
}

# restful

预期输出

['The', 'length', 'filter', 'allows', 'control', 'over', 'token', 'length', 'for', 'text', 'processing']