Lowercase
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The lowercase filter converts terms generated by a tokenizer to lowercase, making searches case-insensitive. For example, it can convert ["High", "Performance", "Vector", "Database"] to ["high", "performance", "vector", "database"].

Configuration

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

Python
Java
NodeJS
Go
cURL

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

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

const analyzer_params = {
    "tokenizer": "standard",
    "filter": ["lowercase"],
};

// go

# restful
analyzerParams='{
  "tokenizer": "standard",
  "filter": [
    "lowercase"
  ]
}'

The lowercase 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.

Examples

Before applying the analyzer configuration to your collection schema, verify its behavior using the run_analyzer method.

Analyzer configuration:

Python
Java
NodeJS
Go
cURL

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

// java

// javascript

// go

# restful

Verification using run_analyzer:

Python
Java
NodeJS
Go
cURL

# Sample text to analyze
sample_text = "The Lowercase Filter Ensures Uniformity In Text Processing."

# Run the standard analyzer with the defined configuration
result = MilvusClient.run_analyzer(sample_text, analyzer_params)
print(result)

// java

// javascript

// go

# restful

Expected output:

['the', 'lowercase', 'filter', 'ensures', 'uniformity', 'in', 'text', 'processing']

Configuration​

Examples​

Configuration

Examples