[NIGHTLY] v25.06.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• [Java] Adding support for prefiltering in CAGRA (#870) @punAhuja

🐛 Bug Fixes

• 25.06 hotfix for SNMG (#1027) @viclafargue
• Update rust/cuvs-sys (#990) @benfred
• Fix rust publishing step (#984) @benfred
• Fix failing CAGRA merge google tests for 25.06 (#974) @rhdong
• Fix for recent NCCL resource update (#968) @viclafargue
• Revert "Fix kmeans::predict argument order (#915)" (#951) @divyegala
• IVF-PQ tests: fix segfault when accessing empty lists (#933) @achirkin
• batch_load_iterator shall copy data located in host memory (#926) @tfeher
• Fix kmeans::predict argument order (#915) @enp1s0
• ANN_BENCH: fix the reported core count (#896) @achirkin
• CUVS_ANN_BENCH_SINGLE_EXE: find the mg library (#890) @achirkin
• [FIX] Revert negated InnerProduct distance for NN Descent (#859) @jinsolp
• IVF-PQ tests: fix segfault when accessing empty lists (#838) @achirkin
• [CuVS-Java] Automate panama bindings generation, Include IVF_PQ parameters in CAGRA index parameters and other changes (#831) @narangvivek10
• Ann-bench: fix unsafe lazy blobs (#828) @achirkin
• Fix test_brute_force conversion (#821) @lowener
• [FEA] New algos and updates/corrections to Faiss cuvs-bench (#677) @tarang-jain

📖 Documentation

• All-neighbors API docs (#944) @jinsolp
• cagra.rst: fitered -> filtered (#866) @eli-b
• [DOCS] Fix Integration Docs (Faiss) (#782) @tarang-jain

🚀 New Features

• Add IVF-PQ support in CAGRA index params in Python (#918) @lowener
• [Feat] Expose C API for CAGRA merge (#860) @rhdong
• Use NCCL wheels from PyPI for CUDA 12 builds (#827) @divyegala
• Add support for half in CAGRA+HNSW (#813) @lowener
• [CI] Enable Java test in CI workflow (#805) @rhdong
• Wrapper for all-neighbors knn graph building (#785) @jinsolp
• Add support of half dtype in IVF-FLAT (#730) @lowener
• IVF-PQ: low-precision coarse search (#715) @achirkin
• [Feat] Add support of logical merge in Cagra (#713) @rhdong

🛠️ Improvements

• Update score calculation for CAGRA-Q instance selection (#938) @enp1s0
• [FEA] Use Native Brute Force for Sparse Pairwise KNN (#927) @tarang-jain
• use 'rapids-init-pip' in wheel CI, other CI changes (#917) @jameslamb
• ANN_BENCH: Avoid repeated calls to raft::get_device_for_address in CAGRA search (#908) @achirkin
• [Java] New off-heap Dataset support for CAGRA and Bruteforce (#902) @chatman
• Finish CUDA 12.9 migration and use branch-25.06 workflows (#901) @bdice
• Update to clang 20 (#898) @bdice
• get Java artifacts from GitHub Actions artifact store (#893) @jameslamb
• Quote head_rev in conda recipes (#892) @bdice
• [Java] Exposing merge API for multiple CAGRA indices (#891) @punAhuja
• Expose ivf-flat centers to python/c (#888) @benfred
• CUDA 12.9 use updated compression flags (#887) @robertmaynard
• Expose ivf-pq centers to python/c (#881) @benfred
• Accept host inputs in python for ivf-pq build and extend (#880) @benfred
• Add tiered_index support (#879) @benfred
• Exclude librmm.so from auditwheel (#878) @bdice
• update.version.sh: remove broken reference, skip most CI on PRs that only modify update-version.sh (#875) @jameslamb
• Add support for Python 3.13 (#874) @gforsyth
• chore: lower wheel size threshold (#872) @gforsyth
• [Java] Adding support for prefiltering in CAGRA (#870) @punAhuja
• Change snmg index to use updated multi gpu resource API (#869) @jinsolp
• run shellcheck on all files, other small pre-commit updates (#865) @jameslamb
• Fix IVF PQ build metric for CAGRA (#862) @lowener
• ANN_BENCH: Expose parallel_mode parameter of FAISS CPU IVF implementation (#861) @achirkin
• Specify matplotlib version (#839) @benfred
• Use random tmp names for index files in tests (#837) @achirkin
• Download build artifacts from Github for CI (#834) @VenkateshJaya
• Add NN-Descent return_distances functionality to python/C (#833) @benfred
• Optimize hnsw::from_cagra<GPU> (#826) @achirkin
• Use vendored RAPIDS.cmake in example code. (#824) @bdice
• refactor(rattler): enable strict channel priority for builds (#823) @gforsyth
• Reduce device memory usage for CAGRA's graph optimization process (2-hop detour counting) (#822) @anaruse
• [cuvs_bench] distinguish search label from build label in data_export.py (#818) @jiangyinzuo
• Vendor RAPIDS.cmake (#816) @bdice
• Update libcuvs libraft ver to 25.06 in conda env (#808) @jinsolp
• Moving NN Descent class and struct declarations to nn_descent_gnnd.hpp (#803) @jinsolp
• Remove @rapidsai/cuvs-build-codeowners (#783) @KyleFromNVIDIA
• Moving wheel builds to specified location and uploading build artifacts to Github (#777) @VenkateshJaya
• Remove unused raft cagra header in add_nodes.cuh (#741) @jiangyinzuo
• Expose kmeans to python (#729) @benfred
• Update cuvs to properly create a NCCL::NCCL target (#720) @robertmaynard
• Optimize euclidean distance in host refine phase (#689) @anstellaire
• Moving MG functions into unified API + raft::device_resources_snmg as device resource type for MG functions (#454) @viclafargue
• Moving random ball cover (#218) @cjnolet