CNDB-14797: Upgrade to jvector 4.0.0-rc1 (#1866)

### What is the issue

Fixes riptano/cndb#14797

CNDB test PR riptano/cndb#14799

### What does this PR fix and why was it fixed

Here is the list of commits included in the upgrade:
datastax/jvector@4.0.0-beta.5...4.0.0-rc.1

Here is a copy of the relevant `CHANGELOG.md` lines:

> ####
[4.0.0-rc.1](datastax/jvector@4.0.0-beta.6...4.0.0-rc.1)
>
> - Fix issue when calling cleanup while concurrently executing searches
[`#483`](datastax/jvector#483)
> - Improve the efficiency and memory usage of GraphIndexBuilder.cleanup
[`#477`](datastax/jvector#477)
> - add PQ training benchmark
[`#482`](datastax/jvector#482)
> - Remove extraneous character from datasets.yml
[`#484`](datastax/jvector#484)
> - Upgrade YAML files to v5 after the format was introduced in the last
update [`#478`](datastax/jvector#478)
> - New chunked memory-mapped reader that supports >2GB files
[`61bffbe`](datastax/jvector@61bffbe)
> - release 4.0.0-rc.1
[`6737596`](datastax/jvector@6737596)
> - Fix comparison in TestADCGraphIndex
[`b637f65`](datastax/jvector@b637f65)
>
> ####
[4.0.0-beta.6](datastax/jvector@4.0.0-beta.5...4.0.0-beta.6)
>
> > 13 June 2025
> - Add a new graph node using a search score
[`#473`](datastax/jvector#473)
> - chore(release): Bump tag version and update changelog
[`#471`](datastax/jvector#471)
> - Sequential disk writer (#475). Upgrades file format from 4 to 5
[`d0ccb32`](datastax/jvector@d0ccb32)
> - Allow empty sections in datasets.yml & add colbert-1M.yml
[`2bf5f9a`](datastax/jvector@2bf5f9a)
> - chore (release): Start release version 4.0.0-beta.6
[`9a453a3`](datastax/jvector@9a453a3)
>
>

Author: michaeljmarshall

.build/parent-pom-template.xml

@@ -1248,7 +1248,7 @@
       <dependency>
         <groupId>io.github.jbellis</groupId>
         <artifactId>jvector</artifactId>
-        <version>4.0.0-beta.5</version>
+        <version>4.0.0-rc.1</version>
       </dependency>
       <dependency>
         <groupId>com.carrotsearch.randomizedtesting</groupId>

src/java/org/apache/cassandra/index/sai/disk/vector/CassandraDiskAnn.java

@@ -31,6 +31,7 @@
 import io.github.jbellis.jvector.graph.GraphSearcher;
 import io.github.jbellis.jvector.graph.disk.feature.FeatureId;
 import io.github.jbellis.jvector.graph.disk.OnDiskGraphIndex;
+import io.github.jbellis.jvector.graph.similarity.DefaultSearchScoreProvider;
 import io.github.jbellis.jvector.graph.similarity.SearchScoreProvider;
 import io.github.jbellis.jvector.quantization.BQVectors;
 import io.github.jbellis.jvector.quantization.CompressedVectors;
@@ -240,12 +241,12 @@ public CloseableIterator<RowIdWithScore> search(VectorFloat<?> queryVector,
             {
                 var asf = view.approximateScoreFunctionFor(queryVector, similarityFunction);
                 var rr = isRerankless ? null : view.rerankerFor(queryVector, similarityFunction);
-                ssp = new SearchScoreProvider(asf, rr);
+                ssp = new DefaultSearchScoreProvider(asf, rr);
             }
             else if (compressedVectors == null)
             {
                 // no compression, so we ignore isRerankless (except for setting rerankK to limit)
-                ssp = new SearchScoreProvider(view.rerankerFor(queryVector, similarityFunction));
+                ssp = new DefaultSearchScoreProvider(view.rerankerFor(queryVector, similarityFunction));
             }
             else
             {
@@ -256,7 +257,7 @@ else if (compressedVectors == null)
                          : similarityFunction;
                 var asf = compressedVectors.precomputedScoreFunctionFor(queryVector, sf);
                 var rr = isRerankless ? null : view.rerankerFor(queryVector, similarityFunction);
-                ssp = new SearchScoreProvider(asf, rr);
+                ssp = new DefaultSearchScoreProvider(asf, rr);
             }
             long start = nanoTime();
             var result = searcher.search(ssp, limit, rerankK, threshold, context.getAnnRerankFloor(), ordinalsMap.ignoringDeleted(acceptBits));

src/java/org/apache/cassandra/index/sai/disk/vector/CassandraOnHeapGraph.java

@@ -49,7 +49,7 @@
 import io.github.jbellis.jvector.graph.disk.feature.Feature;
 import io.github.jbellis.jvector.graph.disk.feature.FeatureId;
 import io.github.jbellis.jvector.graph.disk.feature.InlineVectors;
-import io.github.jbellis.jvector.graph.similarity.SearchScoreProvider;
+import io.github.jbellis.jvector.graph.similarity.DefaultSearchScoreProvider;
 import io.github.jbellis.jvector.quantization.BinaryQuantization;
 import io.github.jbellis.jvector.quantization.CompressedVectors;
 import io.github.jbellis.jvector.quantization.ProductQuantization;
@@ -342,7 +342,7 @@ public CloseableIterator<SearchResult.NodeScore> search(QueryContext context, Ve
         searcher.setView(builder.getGraph().getView());
         try
         {
-            var ssf = SearchScoreProvider.exact(queryVector, similarityFunction, vectorValues);
+            var ssf = DefaultSearchScoreProvider.exact(queryVector, similarityFunction, vectorValues);
             long start = nanoTime();
             var result = searcher.search(ssf, limit, rerankK, threshold, 0.0f, bits);
             long elapsed = nanoTime() - start;
@@ -440,10 +440,10 @@ public SegmentMetadata.ComponentMetadataMap flush(IndexComponents.ForWrite perIn
         try (var pqOutput = perIndexComponents.addOrGet(IndexComponentType.PQ).openOutput(true);
              var postingsOutput = perIndexComponents.addOrGet(IndexComponentType.POSTING_LISTS).openOutput(true);
              var indexWriter = new OnDiskGraphIndexWriter.Builder(builder.getGraph(), indexFile.toPath())
+                               .withStartOffset(termsOffset)
                                .withVersion(Version.current().onDiskFormat().jvectorFileFormatVersion())
                                .withMapper(ordinalMapper)
                                .with(new InlineVectors(vectorValues.dimension()))
-                               .withStartOffset(termsOffset)
                                .build())
         {
             SAICodecUtils.writeHeader(pqOutput);

src/java/org/apache/cassandra/index/sai/disk/vector/CompactionGraph.java

@@ -211,23 +211,27 @@ else if (compressor instanceof BinaryQuantization)
                                         indexConfig.getNeighborhoodOverflow(1.2f),
                                         indexConfig.getAlpha(dimension > 3 ? 1.2f : 1.4f),
                                         indexConfig.isHierarchyEnabled() && jvectorVersion >= 4,
-                                        compactionSimdPool, compactionFjp);
+                                        true, // We always refine during compaction
+                                        compactionSimdPool,
+                                        compactionFjp);
 
         termsFile = perIndexComponents.addOrGet(IndexComponentType.TERMS_DATA).file();
         termsOffset = (termsFile.exists() ? termsFile.length() : 0)
                       + SAICodecUtils.headerSize();
         // placeholder writer, will be replaced at flush time when we finalize the index contents
-        writer = createTermsWriterBuilder().withMapper(new OrdinalMapper.IdentityMapper(maxRowsInGraph)).build();
+        writer = createTermsWriter(new OrdinalMapper.IdentityMapper(maxRowsInGraph));
         writer.getOutput().seek(termsFile.length()); // position at the end of the previous segment before writing our own header
         SAICodecUtils.writeHeader(SAICodecUtils.toLuceneOutput(writer.getOutput()));
     }
 
-    private OnDiskGraphIndexWriter.Builder createTermsWriterBuilder() throws IOException
+    private OnDiskGraphIndexWriter createTermsWriter(OrdinalMapper ordinalMapper) throws IOException
     {
         return new OnDiskGraphIndexWriter.Builder(builder.getGraph(), termsFile.toPath())
                .withStartOffset(termsOffset)
                .with(new InlineVectors(dimension))
-               .withVersion(Version.current().onDiskFormat().jvectorFileFormatVersion());
+               .withVersion(Version.current().onDiskFormat().jvectorFileFormatVersion())
+               .withMapper(ordinalMapper)
+               .build();
     }
 
     @Override
@@ -446,7 +450,7 @@ public SegmentMetadata.ComponentMetadataMap flush() throws IOException
             }
 
             // Recreate the writer with the final ordinalMapper
-            writer = createTermsWriterBuilder().withMapper(ordinalMapper.get()).build();
+            writer = createTermsWriter(ordinalMapper.get());
 
             // write the graph edge lists and optionally fused adc features
             var start = nanoTime();