Revert "Optimize cuvs-lucene CAGRA_HNSW index build; add example (#2481)"

examples/java/cuvs-lucene/README.md

@@ -32,17 +32,3 @@ To run the Index and Search on GPU example do:
 ```sh
 mvn clean install && java -Djava.util.logging.config.file=src/main/resources/logging.properties -cp target/examples-26.10.0-jar-with-merged-services.jar com.nvidia.cuvs.lucene.examples.IndexAndSearchonGPUExample
 ```
-
-To run the optimized CAGRA-HNSW build example (reference pattern for efficiently building an
-accelerated HNSW index from a large `.fbin` with every ingest-side knob on — open the file once and
-stream sequential prefetched chunks that overlap the disk read with indexing, hold at most two chunks
-in memory, reuse a single vector array, size a native flat buffer per segment, auto-select the CAGRA
-graph-build algorithm, and optionally partition into K segments built sequentially or overlapped) do:
-
-```sh
-mvn clean install && java -Djava.util.logging.config.file=src/main/resources/logging.properties -cp target/examples-26.10.0-jar-with-merged-services.jar com.nvidia.cuvs.lucene.examples.OptimizedCagraHnswBuildExample
-```
-
-With no arguments it generates and indexes a small demo `.fbin` as a single segment; pass a real file,
-chunk size, segment count, and overlap flag as
-`... OptimizedCagraHnswBuildExample <path-to.fbin> <chunkSizeMB> <numSegments> <overlap:true|false>`.

fern/pages/java_api/java-api-com-nvidia-cuvs-spi-cuvsprovider.md

@@ -412,21 +412,14 @@ Switch RMM allocations (used internally by various cuVS algorithms and by the de
 `CuVSDeviceMatrix`) to use pooled memory.
 This operation has a global effect, and will affect all resources on the current device.
 
-Ownership: this and the other `enableRMM*`/`resetRMMPooledMemory` methods are
-not called automatically by any cuVS/cuvs-lucene class. Because the effect is global to the
-current device, it is application code's responsibility to call one of them, if desired, once
-during startup/initialization — before any GPU resource is created — rather than have an
-individual class call it lazily on first use, which cannot be made race-free against
-concurrent construction of that class from multiple threads.
-
 **Parameters**
 
 | Name | Description |
 | --- | --- |
 | `initialPoolSizePercent` | The initial pool size, in percentage of the total GPU memory |
 | `maxPoolSizePercent` | The maximum pool size, in percentage of the total GPU memory |
 
-_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:250`_
+_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:243`_
 
 ### enableRMMManagedPooledMemory
 
@@ -438,16 +431,14 @@ Switch RMM allocations (used internally by various cuVS algorithms and by the de
 `CuVSDeviceMatrix`) to use pooled memory.
 This operation has a global effect, and will affect all resources on the current device.
 
-Ownership: see `#enableRMMPooledMemory`.
-
 **Parameters**
 
 | Name | Description |
 | --- | --- |
 | `initialPoolSizePercent` | The initial pool size, in percentage of the total GPU memory |
 | `maxPoolSizePercent` | The maximum pool size, in percentage of the total GPU memory |
 
-_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:262`_
+_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:253`_
 
 ### enableRMMAsyncMemory
 
@@ -462,9 +453,7 @@ on deallocation. This is especially beneficial when multiple CAGRA searches run
 on separate CUDA streams, because internal workspace allocations no longer serialize kernel
 launches. This operation has a global effect and will affect all resources on the current device.
 
-Ownership: see `#enableRMMPooledMemory`.
-
-_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:274`_
+_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:263`_
 
 ### resetRMMPooledMemory
 
@@ -474,9 +463,7 @@ void resetRMMPooledMemory()
 
 Disables pooled memory on the current device, reverting back to the default setting.
 
-Ownership: see `#enableRMMPooledMemory`.
-
-_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:281`_
+_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:266`_
 
 ### provider
 
@@ -486,7 +473,7 @@ static CuVSProvider provider()
 
 Retrieves the system-wide provider.
 
-_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:284`_
+_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:269`_
 
 ### cagraIndexParamsFromHnswParams
 
@@ -516,7 +503,7 @@ may be shifted along the curve right or left. See the heuristics descriptions fo
 
 A new CAGRA index parameters object
 
-_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:304`_
+_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:289`_
 
 ### cagraIndexParamsFromDataset
 
@@ -540,6 +527,6 @@ Create CAGRA index parameters heuristically tuned for a dataset.
 
 A new CAGRA index parameters object
 
-_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:322`_
+_Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:307`_
 
 _Source: `java/cuvs-java/src/main/java/com/nvidia/cuvs/spi/CuVSProvider.java:18`_