PyGridGain 1.6.0 Release Notes
New Features
PyGridGain 1.6.0 provides access to improved vector search.
Vector Search Similarity Functions
You can now choose the similarity function used by vector search. Prior to this release, COSINE similarity was always used. Now, you can choose the preferred similarity function between COSINE, DOT_PRODUCT, EUCLIDEAN, and MAXIMUM_INNER_PRODUCT. COSINE similarity is still used by default. For more informaiton about advantages and drawbacks of each similarity function, see Function Comparison section in vector search documentation.
The example below shows how you can specify the similarity function:
def cache_config(cache_name):
return {
PROP_NAME: cache_name,
PROP_CACHE_MODE: CacheMode.REPLICATED,
PROP_CACHE_ATOMICITY_MODE: CacheAtomicityMode.TRANSACTIONAL,
PROP_WRITE_SYNCHRONIZATION_MODE: WriteSynchronizationMode.FULL_SYNC,
PROP_QUERY_ENTITIES: [{
'table_name': cache_name,
'key_field_name': 'id',
'key_type_name': 'java.lang.Long',
'value_field_name': None,
'value_type_name': Article.type_name,
'field_name_aliases': [],
'query_fields': [
{
'name': 'id',
'type_name': 'java.lang.Long'
},
{
'name': 'title',
'type_name': 'java.lang.String'
},
{
'name': 'vec',
'type_name': '[F'
}
],
'query_indexes': [
{
'index_name': 'vec',
'index_type': IndexType.VECTOR,
'inline_size': 1024,
#- Set `similarity_function: 0` for COSINE
#- Set `similarity_function: 1` for DOT_PRODUCT
#- Set `similarity_function: 2` for EUCLIDEAN
#- Set `similarity_function: 3` for MAXIMUM_INNER_PRODUCT
'similarity_function': 0, # defaults to COSINE
'fields': [
{
'name': 'vec'
}
]
}
]
}],
}Improvements and Fixed Issues
GG-43272 |
Vector Search now supports EUCLIDEAN, DOT_PRODUCT and MAXIMUM_INNER_PRODUCT similarity functions for vector search in addition to the COSINE. |
Installation and Upgrade Information
To upgrade an existing package, use the following command:
pip install --upgrade pygridgainTo install the latest version of a package:
pip install pygridgainTo install a specific version:
pip install pygridgain==1.6.0Previous Releases
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