Cnalphanumonly

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The cnalphanumonly filter removes tokens that contain any characters other than Chinese characters, English letters, or digits.

Configuration

The cnalphanumonly filter is built into Zilliz Cloud. To use it, simply specify its name in the filter section within analyzer_params.

Python

analyzer_params = {
    "tokenizer": "standard",
    "filter": ["cnalphanumonly"],
}

Java

Map<String, Object> analyzerParams = new HashMap<>();
analyzerParams.put("tokenizer", "standard");
analyzerParams.put("filter", Collections.singletonList("cnalphanumonly"));

The cnalphanumonly filter operates on the terms generated by the tokenizer, so it must be used in combination with a tokenizer. For a list of tokenizers available in Zilliz Cloud, refer to Tokenizer Reference.

After defining analyzer_params, you can apply them to a VARCHAR field when defining a collection schema. This allows Zilliz Cloud to process the text in that field using the specified analyzer for efficient tokenization and filtering. For details, refer to Example use.

Example output

Here’s an example of how the cnalphanumonly filter processes text:

Original text:

"Milvus 是 LF AI & Data Foundation 下的一个开源项目，以 Apache 2.0 许可发布。"

Expected output:

["Milvus", "是", "LF", "AI", "Data", "Foundation", "下", "的", "一个", "开源", "项目", "以", "Apache", "2.0", "许可", "发布"]