TileDB Vector Search Python client

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dudoslav from gravatar.com dudoslav Avatar for ihnorton from gravatar.com ihnorton Avatar for tiledbinc from gravatar.com tiledbinc Avatar for tiledbseth from gravatar.com tiledbseth

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Requires: Python ~=3.7
  • Provides-Extra: test, formatting, benchmarks
Classifiers

Project description

TileDB logo

TileDB Vector Search

TileDB-Vector-Search is a C++ library and Python API for vector search built on top of the TileDB Storage Engine.

Please see the following blog posts for background:

We have released a LangChain integration, with others to come soon.

Quick Links

Quick Installation

Pre-built packages are available from PyPI using pip:

pip install tiledb-vector-search

Or from the tiledb conda channel using conda or mamba:

conda install -c tiledb -c conda-forge tiledb-vector-search

Contributing

We welcome contributions. Please see Building for development-build instructions. For large new features, please open an issue to discuss goals and approach in order to ensure a smooth PR integration and review process. All contributions must be licensed under the repository's MIT License.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dudoslav from gravatar.com dudoslav Avatar for ihnorton from gravatar.com ihnorton Avatar for tiledbinc from gravatar.com tiledbinc Avatar for tiledbseth from gravatar.com tiledbseth

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Requires: Python ~=3.7
  • Provides-Extra: test, formatting, benchmarks
Classifiers

Release history Release notifications | RSS feed

0.10.3

0.10.2

0.10.1

0.10.0

0.9.0

0.8.1

0.8.0

0.7.0

0.6.0

This version

0.5.1

0.5.0

0.4.1

0.4.0

0.3.0

0.2.2

0.2.1

0.2.0

0.1.3

0.1.2

0.1.1

0.1.0

0.0.23

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.14

0.0.9

0.0.7

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tiledb_vector_search-0.5.1.tar.gz (17.7 MB view details)

Uploaded Source

Built Distributions

tiledb_vector_search-0.5.1-pp39-pypy39_pp73-win_amd64.whl (8.4 MB view details)

Uploaded PyPy Windows x86-64

tiledb_vector_search-0.5.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (29.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.5.1-pp39-pypy39_pp73-macosx_12_0_x86_64.whl (13.2 MB view details)

Uploaded PyPy macOS 12.0+ x86-64

tiledb_vector_search-0.5.1-cp312-cp312-win_amd64.whl (8.4 MB view details)

Uploaded CPython 3.12 Windows x86-64

tiledb_vector_search-0.5.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (29.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.5.1-cp312-cp312-macosx_12_0_x86_64.whl (13.2 MB view details)

Uploaded CPython 3.12 macOS 12.0+ x86-64

tiledb_vector_search-0.5.1-cp312-cp312-macosx_12_0_arm64.whl (12.0 MB view details)

Uploaded CPython 3.12 macOS 12.0+ ARM64

tiledb_vector_search-0.5.1-cp311-cp311-win_amd64.whl (8.4 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb_vector_search-0.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (29.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.5.1-cp311-cp311-macosx_12_0_x86_64.whl (13.2 MB view details)

Uploaded CPython 3.11 macOS 12.0+ x86-64

tiledb_vector_search-0.5.1-cp311-cp311-macosx_12_0_arm64.whl (12.0 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

tiledb_vector_search-0.5.1-cp310-cp310-win_amd64.whl (8.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb_vector_search-0.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (29.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.5.1-cp310-cp310-macosx_12_0_x86_64.whl (13.2 MB view details)

Uploaded CPython 3.10 macOS 12.0+ x86-64

tiledb_vector_search-0.5.1-cp310-cp310-macosx_12_0_arm64.whl (12.0 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

tiledb_vector_search-0.5.1-cp39-cp39-win_amd64.whl (8.5 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb_vector_search-0.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (29.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.5.1-cp39-cp39-macosx_12_0_x86_64.whl (13.2 MB view details)

Uploaded CPython 3.9 macOS 12.0+ x86-64

tiledb_vector_search-0.5.1-cp39-cp39-macosx_12_0_arm64.whl (12.0 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

File details

Details for the file tiledb_vector_search-0.5.1.tar.gz.

File metadata

  • Download URL: tiledb_vector_search-0.5.1.tar.gz
  • Upload date:
  • Size: 17.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for tiledb_vector_search-0.5.1.tar.gz
Algorithm Hash digest
SHA256 a77b1e6323432e2e48d83002867d0f3da187689dd3ee4ea0efad0729f973ecd2
MD5 f76ddf4956679ba42aac5f17c91764bf
BLAKE2b-256 2509eefee308b9b84978ee9b44c49502408e9bbf3f3ad91dccb044ec8d5ecfe2

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 b48bae76789bb28fef2a2a3ae511d61f19f2fcee1625673f550953c9142792d3
MD5 cb5055ee9b7236fb459ba91d82d96c2a
BLAKE2b-256 dd8bd0c79aceb09f3422eb0723591405b395e22e0b821a16d186d801e8ceeb13

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cacfb243276fcccba85ea58f0ea13090fb4e85395ff4823a05d0abb955563a5f
MD5 593e612c23dd8d291d09c6d5cd0e4214
BLAKE2b-256 1e133a283cbc469137932c83ed0106948ff39a26599695ceba03fa5c7ee3f34b

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-pp39-pypy39_pp73-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-pp39-pypy39_pp73-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 b0ed8057c08c64cff58458a7b804a5c89cb6ffc0e8cd45ab24269e4dfd6bb871
MD5 e1cfbf6d11b096123d5d42d81e99f0c1
BLAKE2b-256 e4b0b5db7eaa38cf0d0aa2db161acfcfec284d428d5aa089972bf5728bb859ef

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 69dda4d7da5efae74d0a35b68a03cd4a080ee2dbcc79baf5f4594ad9a404b4ea
MD5 508cc1875e6a01dd2eeb320271ca333f
BLAKE2b-256 b0ac7436ee3f0c447045c0c4754827d5bc26c426bb77cb6ff7913948e17554bf

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2b201d0f1531f55f8f827f8840e2ddf3b5c89e9b1569f830b3a6e75421d3d360
MD5 ac177c1ebb2e2f09cd566fec293300ff
BLAKE2b-256 ea933017db1ee597f900a195e8a914d5b33082b3f2d47cb40dd4b4dbe735dec1

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp312-cp312-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp312-cp312-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 cc5df032cefc63ba0fdf6bc02ebbfa19d99bd99472607ca2df344cfe41aa9560
MD5 9d6de0723dd131c9b7391a15fc212245
BLAKE2b-256 7fdc40cae0b382a30c5b0b4bfe2de0d51b77dffd3ed0df846dbd06b446e6a3d5

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 201748fbed8bf3285b771e771015509baa6323da416740cce55f863542f7d91c
MD5 f8baf8417b703e21fc4d4347b47916b3
BLAKE2b-256 d617db021ed410081f73a1dcf6fb658b40fa4fc724ad435d12ab0e8303e73627

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 0811c00b38e9817e57bf6dddfe51b57243754fa79cd8712c46bda4f552daf611
MD5 f189a067e28febabc43c9393f04c33ef
BLAKE2b-256 d9e224cf52f94581a294156d02355923b6a11d8529f03bdb521a7017cf544719

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5850d4363b08b6d67115edf514ba7cf38681707645aac343005a503be8082f30
MD5 55afbd160ae35630dc88fbafac8c1980
BLAKE2b-256 204fba64b0c7b37879cc318cd2f7626c6d5e675ee7b52978e251e81f54f49746

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp311-cp311-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp311-cp311-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 2cba7a469f212fa5eae14deab5d0c13cdbb498dbe6ca28035757ff0f9b774549
MD5 a384bc8e711ec5a6f7aeffe4e13a9c08
BLAKE2b-256 e7e241a2805a72302eb35c247f2afa917350ab025b9992c99c6cd4e78fc67a05

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 e75a7c2ef089fa37b2269652de0458346cfa00a49e55cacd4a1db37f5935bd1d
MD5 7f656202bffe4bf9f44d08e003a1e9da
BLAKE2b-256 a0a319ec20ea54e31ab1625db3a99657327ee5541294b8baab08fd3b0be89c35

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 fb4749cfa337fcaf8c2ec2ffaff15c0b883d26605a44a4ad87bf270e0fb82185
MD5 eb641b31c8b3c4eff96bf471d5b68e7b
BLAKE2b-256 e11afdba014994a1cd48887c661c7dfa66e3a199465d6090e5c34a21748c8bc1

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0257e22342ceb77a7d3e8c92274a83d8bdee053f5b9170c294b31d8453976846
MD5 9639966d1b4cf98830eccc9765bd8f77
BLAKE2b-256 35e33fa7e1d87c59588e108c4eee197dff62339e002272dbd957aface662a5bc

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 5c6f8852fa0ec46b6dfa0de0513f680f92db8819fe5e9c401535f8878e76d0ac
MD5 8b3e124354b483cdf6989b9d10b31943
BLAKE2b-256 2426e5957ba118d89e69b446156312f5ae2aa1fbd5f190619d250e49014a58ae

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 33863797f8bec0c092348ab5b1d70185e65daa1be5bbf7b46a58bf1cb25cdb85
MD5 3557f992980f4169003e6ff10f3c2ea5
BLAKE2b-256 e1b52c6f6a48744675fb54e1287640d63a5f30096b922759f4293b2e82e92dac

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 023596e0af9758783169f52d7dbd7be2dbb9ed26eb663d97f810b9bf28128186
MD5 5a7d825878f83a4f1420f22c3843e603
BLAKE2b-256 832f963a980f7c78667fb7c9245325684aba9aced737c8d3391d2b9e9a04f695

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c937f00b12c004fb406705063a9034115734b2dc6e21d520e0a93d518250c7cc
MD5 7d5deea491d9f8bfa781290db35f416d
BLAKE2b-256 d12b1e480719d40cd6e2030001da07ccfe44bc2a03123d74c39376e112dcb7c4

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 a4013dadd5363567b309421fb016ccb1662f469d44a664ecbb693674a1a47e3c
MD5 6cfcf6a84f667a69f1de68ff0e83b168
BLAKE2b-256 74696b8970e9a344265eb5dcbc5a4a21359c41ee0558d96f61a22a3be153b731

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.5.1-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.5.1-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 60929bef25be93dc73aa16020c3755033be888b410fbf433dae6568ab14a13fe
MD5 f0d160678e64c97ff42ad55b163c7416
BLAKE2b-256 411f2110412a72fbd47dd38bde924e4844ae7b813375c5ed17706aa37239656f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page