Chris M. Hostetter created SOLR-17164:
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Summary: Add 2 arg variant of vectorSimilarity() function
Key: SOLR-17164
URL: https://issues.apache.org/jira/browse/SOLR-17164
Project: Solr
Issue Type: Improvement
Security Level: Public (Default Security Level. Issues are Public)
Reporter: Chris M. Hostetter
Solr's current 4 argument
{{vectorySimilarity(vectorEncoding,similarityFunction,vec1,vec2)}} function is
really awkward to use for the (seemingly common) situation where you just want
to know the similarity between a field and a constant vector, or (probably less
common) between two fields of the same type.
The first two (currently) mandatory arguments to {{vectorySimilarity()}}
({{{}vectorEncoding{}}} and {{{}similarityFunction{}}}) are already mandatory
properties of {{{}DenseVectorField{}}}. IIUC the only reason these arguments
are required is in the (seemingly uncommon?) situation where you might want to
compute the similarity of two vector constants, so the function needs to know
what {{vectorEncoding}} and {{similarityFunction}} to use.
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It would be really nice to support a simplified 2 argument variant of
{{vectorySimilarity()}} such that:
* the first argument must be the name of a {{DenseVectorField}} field
* the second argument must be either:
** A vector constant
*** in which case the {{vectorEncoding}} use to parse the constant is infered
from the fieldType properties of the first argument
** Or the name of a second {{DenseVectorField}} field
*** in which case the {{vectorEncoding}} and {{similarityFunction}} of the two
fields must match
* The ValueSource returned should be based on the configured
{{vectorEncoding}} & {{similarityFunction}} of the field(s)
Examples...
{noformat}
vectorySimilarity(title_float_vec_dim4, [1.0,2.0,3.0,4.0])
...or...
vectorySimilarity(title_float_vec_dim4, body_float_vec_dim4)
{noformat}
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