iverase commented on code in PR #14626:
URL: https://github.com/apache/lucene/pull/14626#discussion_r2103918228
##
lucene/core/src/java/org/apache/lucene/search/PointRangeQuery.java:
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@@ -154,16 +154,18 @@ private Relation relate(byte[] minPackedValue, byte[]
maxPackedValue)
iverase commented on code in PR #14626:
URL: https://github.com/apache/lucene/pull/14626#discussion_r2103918228
##
lucene/core/src/java/org/apache/lucene/search/PointRangeQuery.java:
##
@@ -154,16 +154,18 @@ private Relation relate(byte[] minPackedValue, byte[]
maxPackedValue)
dungba88 commented on PR #14009:
URL: https://github.com/apache/lucene/pull/14009#issuecomment-2903403699
Let me rephrase it better. I'm not worrying about the computation cost, as
you mentioned they are the same.
In Amazon (where both Vigya and I are working at), we usually run
KnnF
dungba88 commented on code in PR #14009:
URL: https://github.com/apache/lucene/pull/14009#discussion_r2103857961
##
lucene/core/src/java/org/apache/lucene/search/RerankFloatVectorQuery.java:
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@@ -0,0 +1,116 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
vigyasharma commented on PR #14009:
URL: https://github.com/apache/lucene/pull/14009#issuecomment-2903244426
> For the alternative implementation we leave that up to the final hit
collection to return the top-k based on a ranking mechanism
Those final TopDocs collectors will use the s
vigyasharma commented on code in PR #14009:
URL: https://github.com/apache/lucene/pull/14009#discussion_r2103784830
##
lucene/core/src/java/org/apache/lucene/search/RerankFloatVectorQuery.java:
##
@@ -0,0 +1,116 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under o
dungba88 commented on issue #14643:
URL: https://github.com/apache/lucene/issues/14643#issuecomment-2903095335
Not sure if this is relevant:
https://github.com/mikemccand/luceneutil/issues/385, but if it's the same
problem it will be fixed with latest luceneutil.
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dungba88 commented on PR #14009:
URL: https://github.com/apache/lucene/pull/14009#issuecomment-2903029304
> This gets handled by the k you pass to searcher.search(), and the top docs
collector you use. It's same as any other query.
I guess the main difference is when the results got t
github-actions[bot] commented on PR #14626:
URL: https://github.com/apache/lucene/pull/14626#issuecomment-2902936990
This PR has not had activity in the past 2 weeks, labeling it as stale. If
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msokolov commented on PR #14009:
URL: https://github.com/apache/lucene/pull/14009#issuecomment-2902557094
Is it this?
https://github.com/apache/lucene/blob/main/lucene/queries/src/java/org/apache/lucene/queries/function/FunctionScoreQuery.java
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vigyasharma commented on PR #14009:
URL: https://github.com/apache/lucene/pull/14009#issuecomment-2902502742
> Lucene typically rewrites the Query first, and then createWeight on the
simplest form.
That's a good callout. I'll override the `rewrite` method to rewrite the
inner query.
msokolov commented on PR #14009:
URL: https://github.com/apache/lucene/pull/14009#issuecomment-2902339944
I haven't dug in deep yet, but along the lines of further generality, would
it make sense to accept a DoubleValuesSource (that can compute dot products
against a vector field) rather t
heemin32 commented on PR #13525:
URL: https://github.com/apache/lucene/pull/13525#issuecomment-2902300025
On a second thought, if user just diable indexing, implementing multi vector
in the same field might be same as having a separate field without indexing
capability.
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msokolov commented on issue #14643:
URL: https://github.com/apache/lucene/issues/14643#issuecomment-2902293560
> Hmm it's odd for the 500K docs case that recall is so much better with
FEWER segments: .969 with 8 segments, .705 with 89 segments.
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msokolov commented on issue #14681:
URL: https://github.com/apache/lucene/issues/14681#issuecomment-2902282294
This seems worth exploring. One question I have, after reading the linked
discussion thread about integrating JVector as an OpenSearch plugin, is about
this claim ("JVector is a th
dweiss merged PR #14703:
URL: https://github.com/apache/lucene/pull/14703
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heemin32 commented on PR #13525:
URL: https://github.com/apache/lucene/pull/13525#issuecomment-2902248141
I believe this proposal to add a new field for multi-vector support is
facing significant challenges primarily because we aim to support HNSW-based
search on it. However, if our goal we
heemin32 commented on PR #13525:
URL: https://github.com/apache/lucene/pull/13525#issuecomment-2902247646
Certainly! Here's a clearer and more polished rephrasing of your message:
---
I believe this proposal to add a new field for multi-vector support is
facing significant chal
github-actions[bot] commented on PR #13948:
URL: https://github.com/apache/lucene/pull/13948#issuecomment-2902069576
This PR does not have an entry in lucene/CHANGES.txt. Consider adding one.
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Trey314159 commented on issue #14659:
URL: https://github.com/apache/lucene/issues/14659#issuecomment-2902054358
@praveen-d291: Thanks for the pull request! I was unsure how best to modify
the tests since I don't read Telugu. I couldn't tell what would make
natural-looking examples and I di
jpountz commented on code in PR #14702:
URL: https://github.com/apache/lucene/pull/14702#discussion_r2102989752
##
lucene/core/src/java/org/apache/lucene/codecs/KnnVectorsReader.java:
##
@@ -124,7 +124,7 @@ public abstract void search(
*
* The default implementation retu
msokolov merged PR #14696:
URL: https://github.com/apache/lucene/pull/14696
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ChrisHegarty merged PR #14700:
URL: https://github.com/apache/lucene/pull/14700
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phb-ig commented on code in PR #14697:
URL: https://github.com/apache/lucene/pull/14697#discussion_r2102606331
##
lucene/queryparser/src/test/org/apache/lucene/queryparser/flexible/standard/nodes/TestAbstractRangeQueryNode.java:
##
@@ -0,0 +1,69 @@
+/*
+ * Licensed to the Apache
phb-ig commented on code in PR #14697:
URL: https://github.com/apache/lucene/pull/14697#discussion_r2102594352
##
lucene/CHANGES.txt:
##
@@ -854,7 +862,7 @@ Improvements
* GITHUB#13285: Early terminate graph searches of
AbstractVectorSimilarityQuery to follow timeout set fro
phb-ig commented on PR #14697:
URL: https://github.com/apache/lucene/pull/14697#issuecomment-2901267587
@stefanvodita I am the one who originally submitted the patches all that
time ago because the work I was doing at the time required inspecting the query
string and altering, then re-parsi
dungba88 commented on PR #14009:
URL: https://github.com/apache/lucene/pull/14009#issuecomment-2901240220
I changed the query to be generic but keep other the same. (Didn't have
JDK24 yet so build would fail.)
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github-actions[bot] commented on PR #14009:
URL: https://github.com/apache/lucene/pull/14009#issuecomment-2901186441
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github-actions[bot] commented on PR #14703:
URL: https://github.com/apache/lucene/pull/14703#issuecomment-2901110046
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dungba88 commented on PR #14009:
URL: https://github.com/apache/lucene/pull/14009#issuecomment-2901114417
No worry, I think generalization makes sense to me too. And I like the idea
of moving this forward.
The use of `KnnFloatVectorQuery` in this implementation only adds a small
bene
dweiss opened a new pull request, #14703:
URL: https://github.com/apache/lucene/pull/14703
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github-actions[bot] commented on PR #14702:
URL: https://github.com/apache/lucene/pull/14702#issuecomment-2900966501
This PR does not have an entry in lucene/CHANGES.txt. Consider adding one.
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thecoop opened a new pull request, #14702:
URL: https://github.com/apache/lucene/pull/14702
Update the `IOContext` on `IndexInput` implementations rather than the
`ReadAdvice`. This change means that `ReadAdvice` is now only used by
`MMapDirectory` and friends. Note that this is a refactori
jpountz commented on PR #14690:
URL: https://github.com/apache/lucene/pull/14690#issuecomment-2900934920
I'm superseding this change with a more general one for now, which doesn't
introduce new public APIs: #14701. We can look into taking ideas from this PR
as follow-ups.
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jpountz closed pull request #14690: Speed up conjunctive queries that need
scores.
URL: https://github.com/apache/lucene/pull/14690
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jpountz commented on PR #14701:
URL: https://github.com/apache/lucene/pull/14701#issuecomment-2900931305
Filtered queries get a slowdown, but some important queries get a big
speedup:
```
TaskQPS baseline StdDevQPS
my_modified_version StdDev
github-actions[bot] commented on PR #14701:
URL: https://github.com/apache/lucene/pull/14701#issuecomment-2900925674
This PR does not have an entry in lucene/CHANGES.txt. Consider adding one.
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jpountz opened a new pull request, #14701:
URL: https://github.com/apache/lucene/pull/14701
`MaxScoreBulkScorer` and `BlockMaxConjunctionBulkScorer` currently evaluate
hits in a doc-at-a-time (DAAT) fashion, meaning that they they look at all
their clauses to find the next doc and so forth
rmuir commented on issue #14659:
URL: https://github.com/apache/lucene/issues/14659#issuecomment-2900766946
The filter here is working as documented: problem is, user didn't read the
documentation. Just don't use the filter if you dont want the transformations
that it does.
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praveen-d291 opened a new pull request, #14699:
URL: https://github.com/apache/lucene/pull/14699
Fixes: #14659
Remove incorrect Telugu వు/మ conflation in Indic Normalization. They look
similar, but they are distinct with different meanings.
Currently "వు" is mapped to "మ" in
rmuir commented on issue #14659:
URL: https://github.com/apache/lucene/issues/14659#issuecomment-2900761266
> It's like conflating "rn" and "m" to merge burn/bum and corn/com. It could
happen when reading quickly or with poor handwriting, but it is not something
that should happen for searc
mikemccand commented on issue #14630:
URL: https://github.com/apache/lucene/issues/14630#issuecomment-2900807348
Hmm @yugushihuang (on my team (Amazon product search) team) found this is
another way to query the kernel (our Amazon Linux 2 boxes seem not to have
`/proc/config.gz`):
``
ChrisHegarty opened a new pull request, #14700:
URL: https://github.com/apache/lucene/pull/14700
In a similar way to how `IndexOrDocValuesQuery` may rewrite to a
`MatchAllDocsQuery`, if either of the queries rewrites to match no docs, then
return a `MatchNoDocsQuery`.
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github-actions[bot] commented on PR #14700:
URL: https://github.com/apache/lucene/pull/14700#issuecomment-2900736002
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ChrisHegarty merged PR #14695:
URL: https://github.com/apache/lucene/pull/14695
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jpountz merged PR #14679:
URL: https://github.com/apache/lucene/pull/14679
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github-actions[bot] commented on PR #14699:
URL: https://github.com/apache/lucene/pull/14699#issuecomment-2900515377
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vigyasharma commented on PR #14009:
URL: https://github.com/apache/lucene/pull/14009#issuecomment-2900200570
@dungba88 : I shared an [alternate
implementation](https://github.com/apache/lucene/pull/14698) for
RerankVectorQuery that I feel can generalize more broadly.
**Main Differen
vigyasharma opened a new pull request, #14698:
URL: https://github.com/apache/lucene/pull/14698
This PR presents an alternate to #14009 for `RerankVectorQuery`. It takes an
input query, a target vector and a field to use for vector values, and rescores
the output of wrapped query with full
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