Alphanumonly

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The alphanumonly filter removes tokens that contain non-ASCII characters, keeping only alphanumeric terms. This filter is useful for processing text where only basic letters and numbers are relevant, excluding any special characters or symbols.

Configuration

The alphanumonly 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": ["alphanumonly"],
}

Java

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

The alphanumonly 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 alphanumonly filter processes text:

Original text:

"Milvus 2.0 @ Scale! #AI #Vector_Databasé"

Expected output:

["Milvus", "2", "0", "Scale", "AI", "Vector"]