Standard

The standard analyzer is the default analyzer in Milvus, which is automatically applied to text fields if no analyzer is specified. It uses grammar-based tokenization, making it effective for most languages.

Definition

The standard analyzer consists of:

• Tokenizer: Uses the standard tokenizer to split text into discrete word units based on grammar rules. For more information, refer to Standard.

• Filter: Uses the lowercase filter to convert all tokens to lowercase, enabling case-insensitive searches. For more information, refer to lowercase filter.

The functionality of the standard analyzer is equivalent to the following custom analyzer configuration:

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

Configuration

To apply the standard analyzer to a field, simply set type to standard in analyzer_params, and include optional parameters as needed.

analyzer_params = {
    "type": "standard", # Specifies the standard analyzer type
}

The standard analyzer accepts the following optional parameters:

Example configuration of custom stop words:

analyzer_params = {
    "type": "standard", # Specifies the standard analyzer type
    "stop_words", ["of"] # Optional: List of words to exclude from tokenization
}

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

Example output

Here’s how the standard analyzer processes text.

Original text:

"The Milvus vector database is built for scale!"

Expected output:

["the", "milvus", "vector", "database", "is", "built", "for", "scale"]