v25.02.01

🚨 Breaking Changes

• [Fix] Various fixes for 25.02.01 point release (#695) @rhdong
• update pip devcontainers to UCX 1.18, small update-version.sh fixes (#604) @jameslamb
• Improve the performance of CAGRA new vector addition with the default params (#569) @enp1s0
• Update for raft logger changes (#540) @vyasr

🐛 Bug Fixes

• [Fix] Various fixes for 25.02.01 point release (#695) @rhdong
• Fix ann-bench dataset blob integer overflow leading to incorrect data copy beyond 4B elems (#671) @achirkin
• Fix ann-bench deadlocking on HNSW destruction due to task locks (#667) @achirkin
• cuvs-bench Fixes (#654) @tarang-jain
• Fix std::lock_guard use for gcc 14 support (#639) @enp1s0
• Fix indexing bug when using parallelism to build CPU hierarchy in HNSW (#620) @divyegala
• add runtime dependency on libcuvs in cuvs wheels (#615) @jameslamb
• Temporarily skip CUDA 11 wheel CI (#599) @bdice
• [Fix] l2_exp random fail in half-float32 mixed precision on self-neighboring (#596) @rhdong
• Add CAGRA InnerProduct test and fix a bug (#595) @enp1s0
• fix cuvs_bench.run --groups options (#592) @jiangyinzuo
• Fix cagra_hnsw serialization when dataset is not part of index (#591) @tfeher
• fix create_pointset for throughput mode (#589) @jiangyinzuo
• Fix the use of constexpr in the dynamic batching header (#582) @achirkin
• Reduce the recall threshold for IVF-PQ low-precision LUT inner product tests (#573) @achirkin
• Small fixes to docs and pairwise distances (#570) @cjnolet
• [BUG] Fix CAGRA graph optimization bug (#565) @enp1s0
• Fix broken link to python doc (#564) @lowener
• Fix cagra::extend error message (#532) @enp1s0
• Fix Grace-specific issues in CAGRA (#527) @achirkin

📖 Documentation

• add docs for nn_descent (#668) @Intron7
• Fixing small typo in cuvs bench docs (#586) @cjnolet
• Fix typos in README (#543) @nvanbenschoten
• Use nvidia-sphinx-theme for docs (#528) @benfred

🚀 New Features

• Add deep-100M to datasets.yaml for cuvs-bench (#670) @tarang-jain
• Expose configuration singleton as a global context for ann-bench algos (#647) @achirkin
• ANN_BENCH enhanced dataset support (#624) @achirkin
• [Feat] Add Support for Index merge in CAGRA (#618) @rhdong
• HNSW GPU hierarchy (#616) @divyegala
• CAGRA binary Hamming distance support (#610) @enp1s0
• Add cuda 12.8 support (#605) @robertmaynard
• Add support for refinement with uint32_t index type (#563) @lowener
• [Feat] Support bitset filter for Brute Force (#560) @rhdong
• Remove upper bounds on cuda-python to allow 12.6.2 and 11.8.5 (#508) @bdice

🛠️ Improvements

• [Opt] add required content to cuvs_java pom.xml (#731) @rhdong
• Add filtering to python for ivf_flat (#664) @benfred
• Expose binary quantizer to C and Python (#660) @benfred
• Add telemetry (#652) @gforsyth
• Revert docs builds to CI latest tag. (#643) @bdice
• Add float16 support in python for cagra/brute_force/ivf_pq and scalar quantizer (#637) @benfred
• Expose NN-Descent to C and Python (#635) @benfred
• Revert CUDA 12.8 shared workflow branch changes (#630) @vyasr
• cuvs-java: Rework the api to be Java 21 friendly (#628) @ChrisHegarty
• Build and test with CUDA 12.8.0 (#621) @bdice
• Add Scalar Quantization to the c and python apis (#617) @benfred
• Iteratively build graph index (#612) @anaruse
• update pip devcontainers to UCX 1.18, small update-version.sh fixes (#604) @jameslamb
• Reduce CAGRA test runtime (#602) @bdice
• Revert "Temporarily skip CUDA 11 wheel CI" (#601) @bdice
• introduce libcuvs wheels (#594) @jameslamb
• Normalize whitespace (#593) @bdice
• Rename test to tests. (#590) @bdice
• Use cuda.bindings layout. (#588) @bdice
• run_cuvs_pytests.sh uses proper test dir (#584) @robertmaynard
• expose col-major bfknn to python (#575) @benfred
• Run cuvs-bench pytests and end-to-end tests in CI (#574) @dantegd
• Expose col-major pairwise distances to python (#572) @benfred
• Improve the performance of CAGRA new vector addition with the default params (#569) @enp1s0
• Improve filtering documentation (#568) @lowener
• Use GCC 13 in CUDA 12 conda builds. (#567) @bdice
• Allow brute_force::build to work on host matrix dataset (#562) @benfred
• FAISS with cuVS enabled in cuvs-bench (#561) @tarang-jain
• Vamana build improvement and added docs (#558) @bkarsin
• Support raft's logger targets (#557) @vyasr
• Get Breathe from conda again (#554) @vyasr
• Check if nightlies have succeeded recently enough (#548) @vyasr
• Add support for float16 to the python pairwise distance api (#547) @benfred
• Additional Distances for CAGRA C and Python API (#546) @tarang-jain
• remove setup.cfg files, other packaging cleanup (#544) @jameslamb
• Fix CI for python cuvs_bench (#541) @benfred
• Update for raft logger changes (#540) @vyasr
• Change brute_force api to match ivf*/cagra (#536) @benfred
• Branch 25.02 merge 24.12 (#526) @benfred
• Update cuda-python lower bounds to 12.6.2 / 11.8.5 (#524) @bdice
• Automatic adjustment of itopk size according to filtering rate (#509) @anaruse
• prefer system install of UCX in devcontainers (#501) @jameslamb
• Adapt to rmm logger changes (#499) @vyasr
• Require approval to run CI on draft PRs (#498) @bdice
• Remove RAFT BUILD_ANN_BENCH option (#497) @bdice
• Update example code fetching rapids-cmake to use CUVS instead of RAFT (#493) @bdice
• Improve multi-CTA algorithm (#492) @anaruse
• Add filtering for CAGRA to C API (#452) @ajit283
• Initial cut for a cuVS Java API (#450) @chatman
• Add breaking change workflow trigger (#442) @AyodeAwe
• Expose extend() in C API (#276) @ajit283
• Go API - [WIP] (#212) @ajit283