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Increment to next release, v1.14.0 (#4852)
Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/4852 Prior one: D79863512 Wiki: https://www.internalfb.com/wiki/Vector_Search/Onboarding/Faiss_Contributor/Release/Release_Process/ Reviewed By: subhadeepkaran Differential Revision: D94947889 fbshipit-source-id: 94950b1704bef471f86420f7ebefbafdf5536cd7
This commit is contained in:
Michael Norris
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meta-codesync[bot]
meta-codesync[bot]
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db5aef2253
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e56d96aa01
@@ -3,6 +3,103 @@ All notable changes to this project will be documented in this file.
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## [Unreleased]
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## [1.14.0] - 2026-03-02
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Added
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- Add PEP 561 Python type stubs for the faiss package (#4840)
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- Add conda-forge channel to INSTALL.md install commands (#4819)
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- Add post_init_hook call to Python init (#4795)
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- Add ARM SVE support for distance functions (#4798)
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- Add Dynamic Dispatch OSS CI workflow (#4779)
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- Add IndexFlatIPPanorama (#4787)
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- Add benchmark to measure the ResultHandler overhead (#4778)
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- Demo for a diversity filter (#4765)
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- Add SVS binary size comparison demo and documentation (#4777)
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- Add InvertedListScanner support for IndexIVFRaBitQFastScan (#4760)
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- Add comprehensive ScalarQuantizer correctness tests (#4766)
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- add IDSelector for knn_extra_metrics() (#4753)
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- Add early stopping to k-means clustering (#4741)
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- Add k-means++ and AFK-MC² centroid initialization methods (#4740)
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Changed
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- ScalarQuantizer: refactor SIMDWIDTH int → SIMDLevel enum (#4838)
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- Fold IndexIVFPQ scanner helpers into templatized lambdas (#4836)
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- Temporarily disable RaBitQ FastScan from backward compatibility test (#4841)
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- Eliminate flat_storage by embedding auxiliary data in SIMD blocks (#4816)
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- Rework PQ code distance for Dynamic Dispatch (#4808)
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- fbcode/faiss/impl (#4832)
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- fbcode/faiss/utils/simd_impl (#4833)
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- fbcode/faiss/IndexFlat.cpp (#4831)
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- fbcode/faiss (#4829)
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- Implement distance_to_code for IVFRaBitQFastScanScanner (#4822)
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- distance_to_code for IVFPQFastScan invertedlistscanner (#4821)
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- Make dispatch_VectorDistance more compact (#4820)
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- Update callers to use read_index_up API (#4818)
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- fbcode/faiss/utils/simd_impl/distances_avx2.cpp (#4813)
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- fbcode/faiss/impl/PolysemousTraining.cpp (#4814)
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- fbcode/faiss/utils/sorting.cpp (#4815)
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- VisitedTable -> unordered_set if ntotal is large (#4735)
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- resulthandlers with AVX512 (#4806)
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- put dispatch one level above (#4802)
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- dynamic dispatch distances_simd (#4781)
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- Introduce Dynamic Dispatch infrastructure with SIMDConfig (#4780)
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- make runtime template selection more compact (#4793)
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- support SearchParameters for IndexBinary (#4761)
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- Support sharding of RaBitQ indices (#4790)
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- Refactor ScalarQuantizer headers to use SIMD wrapper types (#4772)
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- Split ScalarQuantizer.cpp into modular headers (NOOP) (#4786)
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- Move factory_tools to main library and fix unaligned SIMD store (#4782)
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- inline scanning code for fast distance computations (#4785)
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- Enable Faiss for internal use (#4737)
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- Address review comments on SQ correctness tests (#4771)
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- Enable use of svs runtime conda package instead of tarball (#4747)
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- generic result handlers for most indexes (#4762)
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- Use nth_element for median computation in IndexLSH (#4653)
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- Change default qb from 0 to 4 in RaBitQ indexes (#4757)
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- Move reorder_2_heaps() into Heap.h (#4752)
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- Improve naming due to codemod. simd_result_handlers (#4351)
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- Dot Product Support Similarity Metric for IndexIVFFlatPanorama (#4732)
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- Panorama Refactor and Code Cleanup (#4728)
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- Update serialization backwards compatibility test with panorama and rabitq (#4736)
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Fixed
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- Additional index deserialization validation (#4844)
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- Validate HNSW levels array entries during deserialization (#4827)
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- Additional memory exception handling fixes for index_read.cpp (#4837)
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- Catch attempts to deserialize undefined MetricTypes (#4823)
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- BlockInvertedListsIOHook::read(): Don't leak on exception. (#4824)
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- Harden ZnSphere lattice codec against invalid parameters (#4826)
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- Validate n_levels > 0 in Panorama (#4825)
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- Additional hardening of index load path (#4817)
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- Deploy std::unique_ptr<> in index_read.cpp for exception safety (#4809)
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- Fix to graph deserialization (#4812)
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- Harden deserialization against integer overflow and buffer overflows (#4811)
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- Fix CMake/Buck build discrepancies (#4807)
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- Fix NSG off-by-one neighbor ID check (#4804)
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- Fix CMake static targets missing SIMD sources and definitions (#4800)
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- Enable -Wstring-conversion in faiss/PACKAGE +1
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- Fix backward compat CI: use isolated conda environments (#4799)
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- Fix string-conversion issue in faiss/impl/lattice_Zn.cpp +1 (#4794)
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- Fix build pr 4761 (#4792)
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- Fix: Remove -Wignored-attributes warning in mapped_io.cpp (#4775)
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- Fix string-conversion issue in faiss/IndexHNSW.cpp
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- Fix: Remove -Wswitch-unreachable warning in generic-inl.h (#4776)
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- Fix string-conversion issue in faiss/invlists/OnDiskInvertedLists.cpp +5 (#4791)
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- Fix OSX arm64 nightly by disabling hidden visibility on macOS (#4789)
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- Fix FindMKL.cmake to detect Intel oneAPI MKL (2021+) (#4769)
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- Fix lint errors in SVS integration code (#4774)
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- Fix typos in demos, benchs, and other directories (#4743)
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- Fix weak external symbol leakage (#4758)
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- Fix compilation on macOS ARM64: Use faiss::idx_t instead of long test_hamming (#4755)
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- Fix multi-bit RaBitQ IP metric filtering and f_add_ex computation (#4754)
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- Fix IP metric distance computation in multi-bit RaBitQ (#4751)
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- Reduce memory usage in timeout callback tests (#4745)
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- Fix c++20 compilation in OSS Faiss for OSX ARM64 (#4733)
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Deprecated
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- Remove deprecated RAFT headers (#4731)
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## [1.13.2] - 2025-12-19
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Added
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+1
-1
@@ -47,7 +47,7 @@ if(FAISS_ENABLE_CUVS)
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endif()
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project(faiss
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VERSION 1.13.2
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VERSION 1.14.0
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DESCRIPTION "A library for efficient similarity search and clustering of dense vectors."
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HOMEPAGE_URL "https://github.com/facebookresearch/faiss"
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LANGUAGES ${FAISS_LANGUAGES})
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+4
-4
@@ -12,13 +12,13 @@ To install the latest stable release:
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``` shell
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# CPU-only version
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$ conda install -c pytorch -c conda-forge faiss-cpu=1.13.2
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$ conda install -c pytorch -c conda-forge faiss-cpu=1.14.0
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# GPU(+CPU) version
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$ conda install -c pytorch -c nvidia -c conda-forge faiss-gpu=1.13.2
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$ conda install -c pytorch -c nvidia -c conda-forge faiss-gpu=1.14.0
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# GPU(+CPU) version with NVIDIA cuVS
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$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge libnvjitlink faiss-gpu-cuvs=1.13.2
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$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge libnvjitlink faiss-gpu-cuvs=1.14.0
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# GPU(+CPU) version using AMD ROCm not yet available
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```
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@@ -36,7 +36,7 @@ Nightly pre-release packages can be installed as follows:
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$ conda install -c pytorch/label/nightly -c conda-forge faiss-cpu
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# GPU(+CPU) version
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$ conda install -c pytorch/label/nightly -c nvidia -c conda-forge faiss-gpu=1.13.2
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$ conda install -c pytorch/label/nightly -c nvidia -c conda-forge faiss-gpu=1.14.0
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# GPU(+CPU) version with NVIDIA cuVS (package built with CUDA 12.6)
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conda install -c pytorch -c rapidsai -c rapidsai-nightly -c conda-forge -c nvidia pytorch/label/nightly::faiss-gpu-cuvs 'cuda-version=12.6'
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@@ -114,7 +114,7 @@ are implemented on the GPU. It is developed by Facebook AI Research.
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"""
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setup(
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name="faiss",
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version="1.13.2",
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version="1.14.0",
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description="A library for efficient similarity search and clustering of dense vectors",
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long_description=long_description,
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long_description_content_type="text/plain",
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@@ -41,7 +41,7 @@ INDEX_TYPES = [
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# RaBitQ FastScan indexes are temporarily disabled because D93538118
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# changed the serialization format (fourcc "Irfs"->"Irfn", "Iwrf"->"Iwrn")
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# by embedding auxiliary data directly into SIMD blocks. The conda
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# faiss-cpu=1.13.2 reader does not understand the new format.
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# faiss-cpu=1.14.0 reader does not understand the new format.
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# Re-enable these once a new conda release includes the new format.
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# "RaBitQfs", # FS
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# "RaBitQfs_64", # FS, batch size 64
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