{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/efficient-and-robust-approximate-nearest","title":"Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs","arxiv_id":"1603.09320","date":"2016-03-30","proceeding":null,"authors":["Yu. A. Malkov","D. A. Yashunin"],"abstract":"We present a new approach for the approximate K-nearest neighbor search based\non navigable small world graphs with controllable hierarchy (Hierarchical NSW,\nHNSW). The proposed solution is fully graph-based, without any need for\nadditional search structures, which are typically used at the coarse search\nstage of the most proximity graph techniques. Hierarchical NSW incrementally\nbuilds a multi-layer structure consisting from hierarchical set of proximity\ngraphs (layers) for nested subsets of the stored elements. The maximum layer in\nwhich an element is present is selected randomly with an exponentially decaying\nprobability distribution. This allows producing graphs similar to the\npreviously studied Navigable Small World (NSW) structures while additionally\nhaving the links separated by their characteristic distance scales. Starting\nsearch from the upper layer together with utilizing the scale separation boosts\nthe performance compared to NSW and allows a logarithmic complexity scaling.\nAdditional employment of a heuristic for selecting proximity graph neighbors\nsignificantly increases performance at high recall and in case of highly\nclustered data. Performance evaluation has demonstrated that the proposed\ngeneral metric space search index is able to strongly outperform previous\nopensource state-of-the-art vector-only approaches. Similarity of the algorithm\nto the skip list structure allows straightforward balanced distributed\nimplementation.","url_abs":"http://arxiv.org/abs/1603.09320v4","url_pdf":"http://arxiv.org/pdf/1603.09320v4.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/nmslib/hnsw","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"unanswered"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/searchivarius/nmslib","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"gone","observed_at":"2026-09-18","how":"tree_404+repo_404"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/yurymalkov/hnsw","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"unanswered"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/Aktsvigun/hnsw_python","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/Aljaksandr/libhn","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"unanswered"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/HaoZeSun2016/HNSW-HAMMING","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"unanswered"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/JuliaNeighbors/HNSW.jl","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/LTLA/knncolle","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/RadimBaca/HNSW","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/RyanLiGod/HNSW-with-MA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/RyanLiGod/MA-NSW","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/RyanLiGod/go-hnsw","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/RyanLiGod/multiple_target_hnswlib","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"unanswered"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/ShobiStassen/PARC","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/UnofficialJuliaMirror/HNSW.jl-540f64fa-c57e-11e8-081c-41422cda4629","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/UnofficialJuliaMirrorSnapshots/HNSW.jl-540f64fa-c57e-11e8-081c-41422cda4629","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/ZJULearning/nsg","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/datastax/jvector","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/davisidarta/fastlapmap","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/evan176/hnswgo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/granne/granne","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/herrerik/granne","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/javaCJ/HNSW_explain","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/jbellis/jvector","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/jean-pierreBoth/hnswlib-rs","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/jelmerk/hnswlib","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/js1010/cuhnsw","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/kakao/n2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/lebrosoft/hnswlib_0.3_leon","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"unanswered"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/lebrosoft/hnswlib_new","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"unanswered"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/merria28/hnswlib","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"unanswered"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/mimbres/neural-audio-fp","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/nlescoua/faiss-quickeradc","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/nmslib/hnswlib","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/nmslib/nmslib","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/oddconcepts/n2o","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/sararselitsky/FastPG","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/searchivarius/NonMetricSpaceLib","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/strawberrypie/hnsw_index","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/technicolor-research/faiss-quickeradc","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/unum-cloud/usearch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/vdv1g16/hnswfolder","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/vioshyvo/a-multilabel-classification-framework","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/xinyandai/pnsw","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"unanswered"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/xxworkspace/hnswlib","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mxnet","reach":{"status":"unanswered"}},{"paper_slug":"efficient-and-robust-approximate-nearest","repo_url":"https://github.com/milvus-io/milvus","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1603.09320","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1603.09320"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/merria28/hnswlib","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/jelmerk/hnswlib","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/UnofficialJuliaMirror/HNSW.jl-540f64fa-c57e-11e8-081c-41422cda4629","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/jbellis/jvector","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/JuliaNeighbors/HNSW.jl","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/technicolor-research/faiss-quickeradc","reach":{"status":"ok","spdx":"NOASSERTION"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ShobiStassen/PARC","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/oddconcepts/n2o","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/LTLA/knncolle","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/js1010/cuhnsw","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/lebrosoft/hnswlib_new","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/vioshyvo/a-multilabel-classification-framework","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/unum-cloud/usearch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Aktsvigun/hnsw_python","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/nlescoua/faiss-quickeradc","reach":{"status":"ok","spdx":"NOASSERTION"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/RyanLiGod/go-hnsw","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/mimbres/neural-audio-fp","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/kakao/n2","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ZJULearning/nsg","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/nmslib/nmslib","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/RyanLiGod/multiple_target_hnswlib","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/UnofficialJuliaMirrorSnapshots/HNSW.jl-540f64fa-c57e-11e8-081c-41422cda4629","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/granne/granne","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/RyanLiGod/MA-NSW","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/davisidarta/fastlapmap","reach":{"status":"unanswered"}}],"summary":{"unverified":32},"by_repo_kind":{"listed":{"samples":32,"ran":0,"repositories":6}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"f38de72dd78893f4","entry":"clear","repo":"nmslib/nmslib","repo_kind":"listed","path":"previous_releases_scripts/genplot.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/previous_releases_scripts/genplot.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"f38de72dd78893f4"}},{"code_sha256_prefix":"7f2e786868a36028","entry":"compare","repo":"kakao/n2","repo_kind":"listed","path":"benchmarks/compare.py","file_url":"https://github.com/kakao/n2/blob/HEAD/benchmarks/compare.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"7f2e786868a36028"}},{"code_sha256_prefix":"18e581112ad83723","entry":"dict_param_to_nsmlib_bin_str","repo":"nmslib/nmslib","repo_kind":"listed","path":"benchmark/misc_utils.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/benchmark/misc_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"18e581112ad83723"}},{"code_sha256_prefix":"1c950e4966ec9598","entry":"genPGFPlot","repo":"nmslib/nmslib","repo_kind":"listed","path":"previous_releases_scripts/genplot.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/previous_releases_scripts/genplot.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"1c950e4966ec9598"}},{"code_sha256_prefix":"f2e1e86c45959434","entry":"genPGFPlot","repo":"searchivarius/NonMetricSpaceLib","repo_kind":"listed","path":"previous_releases_scripts/nips2013/figures/genplots_nips2013.py","file_url":"https://github.com/searchivarius/NonMetricSpaceLib/blob/HEAD/previous_releases_scripts/nips2013/figures/genplots_nips2013.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"f2e1e86c45959434"}},{"code_sha256_prefix":"ff42ba0e2e3b9192","entry":"getAxisLatex","repo":"nmslib/nmslib","repo_kind":"listed","path":"previous_releases_scripts/genplot.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/previous_releases_scripts/genplot.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"ff42ba0e2e3b9192"}},{"code_sha256_prefix":"00fd55582acb50eb","entry":"get_dataset","repo":"javaCJ/HNSW_explain","repo_kind":"listed","path":"benchmarks/benchmark_script.py","file_url":"https://github.com/javaCJ/HNSW_explain/blob/HEAD/benchmarks/benchmark_script.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"00fd55582acb50eb"}},{"code_sha256_prefix":"e835d9076670deaf","entry":"get_dataset","repo":"javaCJ/HNSW_explain","repo_kind":"listed","path":"benchmarks/youtube_reproduce.py","file_url":"https://github.com/javaCJ/HNSW_explain/blob/HEAD/benchmarks/youtube_reproduce.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"e835d9076670deaf"}},{"code_sha256_prefix":"642902330718ba50","entry":"get_dataset","repo":"oddconcepts/n2o","repo_kind":"listed","path":"benchmarks/benchmark_script.py","file_url":"https://github.com/oddconcepts/n2o/blob/HEAD/benchmarks/benchmark_script.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"642902330718ba50"}},{"code_sha256_prefix":"706485776c880850","entry":"get_dataset_fn","repo":"kakao/n2","repo_kind":"listed","path":"benchmarks/download_dataset.py","file_url":"https://github.com/kakao/n2/blob/HEAD/benchmarks/download_dataset.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"706485776c880850"}},{"code_sha256_prefix":"c329b3648ba301d2","entry":"get_fn","repo":"javaCJ/HNSW_explain","repo_kind":"listed","path":"benchmarks/benchmark_script.py","file_url":"https://github.com/javaCJ/HNSW_explain/blob/HEAD/benchmarks/benchmark_script.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"c329b3648ba301d2"}},{"code_sha256_prefix":"64e8a6840e30069d","entry":"get_fn","repo":"oddconcepts/n2o","repo_kind":"listed","path":"benchmarks/benchmark_script.py","file_url":"https://github.com/oddconcepts/n2o/blob/HEAD/benchmarks/benchmark_script.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"64e8a6840e30069d"}},{"code_sha256_prefix":"52763ab12190a56b","entry":"get_queries","repo":"javaCJ/HNSW_explain","repo_kind":"listed","path":"benchmarks/benchmark_script.py","file_url":"https://github.com/javaCJ/HNSW_explain/blob/HEAD/benchmarks/benchmark_script.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"52763ab12190a56b"}},{"code_sha256_prefix":"0a70bd6ca6481e54","entry":"get_queries","repo":"javaCJ/HNSW_explain","repo_kind":"listed","path":"benchmarks/youtube_reproduce.py","file_url":"https://github.com/javaCJ/HNSW_explain/blob/HEAD/benchmarks/youtube_reproduce.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"0a70bd6ca6481e54"}},{"code_sha256_prefix":"21dfacf227bb72f7","entry":"get_queries","repo":"oddconcepts/n2o","repo_kind":"listed","path":"benchmarks/benchmark_script.py","file_url":"https://github.com/oddconcepts/n2o/blob/HEAD/benchmarks/benchmark_script.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"21dfacf227bb72f7"}},{"code_sha256_prefix":"f51acd5adbd5e1f7","entry":"guess_numpy_dtype_from_filename","repo":"unum-cloud/usearch","repo_kind":"listed","path":"python/usearch/io.py","file_url":"https://github.com/unum-cloud/usearch/blob/HEAD/python/usearch/io.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"f51acd5adbd5e1f7"}},{"code_sha256_prefix":"db909965da54b5b6","entry":"knn_recall","repo":"kakao/n2","repo_kind":"listed","path":"benchmarks/metrics.py","file_url":"https://github.com/kakao/n2/blob/HEAD/benchmarks/metrics.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"db909965da54b5b6"}},{"code_sha256_prefix":"42b99a41e74dbeeb","entry":"knn_threshold","repo":"kakao/n2","repo_kind":"listed","path":"benchmarks/metrics.py","file_url":"https://github.com/kakao/n2/blob/HEAD/benchmarks/metrics.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"42b99a41e74dbeeb"}},{"code_sha256_prefix":"d4eb67b43f42acff","entry":"load_dense","repo":"nmslib/nmslib","repo_kind":"listed","path":"benchmark/data_utils.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/benchmark/data_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"d4eb67b43f42acff"}},{"code_sha256_prefix":"859111b60568c802","entry":"load_entries","repo":"nmslib/nmslib","repo_kind":"listed","path":"benchmark/make_plots.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/benchmark/make_plots.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"859111b60568c802"}},{"code_sha256_prefix":"6232ffacb8dd099a","entry":"load_matrix","repo":"unum-cloud/usearch","repo_kind":"listed","path":"python/usearch/io.py","file_url":"https://github.com/unum-cloud/usearch/blob/HEAD/python/usearch/io.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"6232ffacb8dd099a"}},{"code_sha256_prefix":"4e54de2be24f817c","entry":"load_test_data","repo":"kakao/n2","repo_kind":"listed","path":"benchmarks/benchmark_script.py","file_url":"https://github.com/kakao/n2/blob/HEAD/benchmarks/benchmark_script.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"4e54de2be24f817c"}},{"code_sha256_prefix":"08e39aef547dffd7","entry":"load_train_data","repo":"kakao/n2","repo_kind":"listed","path":"benchmarks/benchmark_script.py","file_url":"https://github.com/kakao/n2/blob/HEAD/benchmarks/benchmark_script.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"08e39aef547dffd7"}},{"code_sha256_prefix":"5c21b4b0da32e8da","entry":"numpy_scalar_size","repo":"unum-cloud/usearch","repo_kind":"listed","path":"python/usearch/io.py","file_url":"https://github.com/unum-cloud/usearch/blob/HEAD/python/usearch/io.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"5c21b4b0da32e8da"}},{"code_sha256_prefix":"8ab19cdee9a46e74","entry":"parse","repo":"kakao/n2","repo_kind":"listed","path":"benchmarks/compare.py","file_url":"https://github.com/kakao/n2/blob/HEAD/benchmarks/compare.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"8ab19cdee9a46e74"}},{"code_sha256_prefix":"9765c8d022e20684","entry":"parse","repo":"kakao/n2","repo_kind":"listed","path":"benchmarks/visualize.py","file_url":"https://github.com/kakao/n2/blob/HEAD/benchmarks/visualize.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"9765c8d022e20684"}},{"code_sha256_prefix":"54a1c6f06f1a932f","entry":"pdist","repo":"kakao/n2","repo_kind":"listed","path":"benchmarks/metrics.py","file_url":"https://github.com/kakao/n2/blob/HEAD/benchmarks/metrics.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"54a1c6f06f1a932f"}},{"code_sha256_prefix":"906dd13e8bf7767c","entry":"plot_entry","repo":"nmslib/nmslib","repo_kind":"listed","path":"benchmark/make_plots.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/benchmark/make_plots.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"906dd13e8bf7767c"}},{"code_sha256_prefix":"22b1e9b52b1b0f3a","entry":"read_dense_from_text","repo":"nmslib/nmslib","repo_kind":"listed","path":"benchmark/data_utils.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/benchmark/data_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"22b1e9b52b1b0f3a"}},{"code_sha256_prefix":"4ca9f55920b86b16","entry":"sanitize","repo":"nmslib/nmslib","repo_kind":"listed","path":"benchmark/make_plots.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/benchmark/make_plots.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"4ca9f55920b86b16"}},{"code_sha256_prefix":"2687bda4a867ff8a","entry":"split_data","repo":"nmslib/nmslib","repo_kind":"listed","path":"benchmark/data_utils.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/benchmark/data_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"2687bda4a867ff8a"}},{"code_sha256_prefix":"6d8f5a668d2ace9f","entry":"to_int","repo":"nmslib/nmslib","repo_kind":"listed","path":"benchmark/misc_utils.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/benchmark/misc_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"6d8f5a668d2ace9f"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}