great, thank you very much for clarifying!
Michael
Am 01.09.22 um 08:43 schrieb Uwe Schindler:
Simply said,
the last parameter of KnnVectorQuery is a Lucene query, so you can
pass any query type there. TermInSetQuery is a good idea for doing a
"IN multiple terms" query. But you can also pass a BooleanQuery with
multiple terms or a combination of other queries, a numeric range,...
or a fulltext query out of Lucene's query parsers.
Uwe
Am 31.08.2022 um 22:19 schrieb Michael Wechner:
Hi Matt
Thanks very much for your feedback!
According to your links I will try
Collection<BytesRef> terms =new ArrayList<BytesRef>();
terms.add(new BytesRef(classification1));
terms.add(new BytesRef(classification2));
Query filter =new TermInSetQuery(CLASSIFICATION_FIELD, terms);
query =new KnnVectorQuery(VECTOR_FIELD, queryVector, k, filter);
All the best
Michael
Am 31.08.22 um 20:24 schrieb Matt Davis:
If I understand correctly, I believe you would want to use a
TermInSetQuery
query. An example usage can be found here
https://github.com/zuliaio/zuliasearch/blob/main/zulia-server/src/main/java/io/zulia/server/index/ZuliaIndex.java#L398.
You can also check out the usage of KnnVectorQuery here:
https://github.com/zuliaio/zuliasearch/blob/main/zulia-server/src/main/java/io/zulia/server/index/ZuliaIndex.java#L419
noting that in this case the getPreFilter method a few lines below
uses a
BooleanQuery.Builder.
As noted in TermsInSetQuery (
https://github.com/apache/lucene/blob/main/lucene/core/src/java/org/apache/lucene/search/TermInSetQuery.java#L62)
multiple terms could be represented as a boolean query with
Occur.SHOULD.
~Matt
On Wed, Aug 31, 2022 at 11:15 AM Michael
Wechner<michael.wech...@wyona.com>
wrote:
Hi
I am currently filtering a KnnVectorQuery as follows
Query filter =new TermQuery(new Term(CLASSIFICATION_FIELD,
classification));
query =new KnnVectorQuery(VECTOR_FIELD, queryVector, k, filter);
but it is not clear to me how I can filter for multiple terms.
Should I subclass MultiTermQuery and use as filter, just as I use
TermQuery as filter above?
Thanks
Michael
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