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https://issues.apache.org/jira/browse/SOLR-17164?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17826907#comment-17826907
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Chris M. Hostetter commented on SOLR-17164:
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FYI I had some time to look at this more today to try and work on some of the
tests i suggested, and confirmed this is a problem...
{quote}
* Can you please add some tests where a constant vector is provided using a
request param reference
** ie: {{vectorSimilarity(fieldName,$vec_param)}}
** (I'm not sure off the top of my head if param refs are resolved by the time
we'll be making the {{peek()}} call)
{quote}
...i've been reviewing the helper code in FunctionQParser a bit and i think i
have a pretty good idea how to fix it, i'll try to dig in more tomorrow.
> 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
> Priority: Major
> Labels: vector-based-search
> Time Spent: 10m
> Remaining Estimate: 0h
>
> 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.
>
> ----
>
> 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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