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
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
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

0.5.1

0.5.0

This version

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-0.4.1.tar.gz (17.4 MB view details)

Uploaded Source

Built Distributions

tiledb_vector_search-0.4.1-pp39-pypy39_pp73-win_amd64.whl (8.3 MB view details)

Uploaded PyPy Windows x86-64

tiledb_vector_search-0.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.3 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.4.1-pp39-pypy39_pp73-macosx_12_0_x86_64.whl (12.7 MB view details)

Uploaded PyPy macOS 12.0+ x86-64

tiledb_vector_search-0.4.1-cp312-cp312-win_amd64.whl (8.3 MB view details)

Uploaded CPython 3.12 Windows x86-64

tiledb_vector_search-0.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.4.1-cp312-cp312-macosx_12_0_x86_64.whl (12.7 MB view details)

Uploaded CPython 3.12 macOS 12.0+ x86-64

tiledb_vector_search-0.4.1-cp312-cp312-macosx_12_0_arm64.whl (11.5 MB view details)

Uploaded CPython 3.12 macOS 12.0+ ARM64

tiledb_vector_search-0.4.1-cp311-cp311-win_amd64.whl (8.3 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb_vector_search-0.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.4.1-cp311-cp311-macosx_12_0_x86_64.whl (12.7 MB view details)

Uploaded CPython 3.11 macOS 12.0+ x86-64

tiledb_vector_search-0.4.1-cp311-cp311-macosx_12_0_arm64.whl (11.5 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

tiledb_vector_search-0.4.1-cp310-cp310-win_amd64.whl (8.3 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb_vector_search-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.4.1-cp310-cp310-macosx_12_0_x86_64.whl (12.7 MB view details)

Uploaded CPython 3.10 macOS 12.0+ x86-64

tiledb_vector_search-0.4.1-cp310-cp310-macosx_12_0_arm64.whl (11.5 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

tiledb_vector_search-0.4.1-cp39-cp39-win_amd64.whl (8.3 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb_vector_search-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.4.1-cp39-cp39-macosx_12_0_x86_64.whl (12.7 MB view details)

Uploaded CPython 3.9 macOS 12.0+ x86-64

tiledb_vector_search-0.4.1-cp39-cp39-macosx_12_0_arm64.whl (11.5 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

File details

Details for the file tiledb_vector_search-0.4.1.tar.gz.

File metadata

  • Download URL: tiledb_vector_search-0.4.1.tar.gz
  • Upload date:
  • Size: 17.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for tiledb_vector_search-0.4.1.tar.gz
Algorithm Hash digest
SHA256 0c3e00e140e97f00d4072b09e5a85eff28d2131332827d802e69741a9fbeeddd
MD5 428287f6bb7b3781bd41b1a83da2da1f
BLAKE2b-256 872ef26fad483ecf5c9066e95631a9d94549abe8c90a725eb83d9435906e14ba

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 6d0fdfba28c993509c4f27c9d9ccd1dff85e125988d84f9ba698072c01dddd64
MD5 ae5a0619a4bd248281e7f5b1ab3b348d
BLAKE2b-256 99bc3a9dc85a3d5ebd542d0b28b902f636c912887ffd4ea48c4d5da08e736385

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1b61c4f3bc539e0bf21cc0e673f08c97c5354a0ce118ff1da1b944d5401731d8
MD5 401c71650e520c987ae968ad9c13b8c1
BLAKE2b-256 6c4f8cbda48d4021cea08c2b2779fd1b93bdc6ec10ae620f81bb73b451c95100

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-pp39-pypy39_pp73-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-pp39-pypy39_pp73-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 628343269715a71801260a60f5c186ffbc0863fe20e0606ae336dfb551ff7764
MD5 68a0fc254cfb9c0f05f886ac33b0ebba
BLAKE2b-256 c7ac35615f4f6ee62f05f5c42d98b4f09a62f773ac5b71ab0ea500fb14f5756c

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 c3ce0450d65da7651657bd1669d06b0e2d3248b5389f383cf2b99f53fc19efff
MD5 6dc874c4652edbe4054fd79775343edc
BLAKE2b-256 b695d09a42d2e2bcc1589198031c745231c9ee6197dfe7db06809ca2d70f0787

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a4097071a02790189358f999fe85b93d29ea886b78a9bf0e2923c47bbefa2587
MD5 69f808310af885fe1c2722bb52aa9f82
BLAKE2b-256 f3fe83452e8b6d09581102bc3fa089d58cc76fdd7f1adaeaf7aa6e3904278b45

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp312-cp312-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp312-cp312-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 328ec8bf3b2a9768d92db5a21d4b3d8f6d3662a0330706a145442853b24ffb8d
MD5 71eb55696899ae4ed3746b5494d76ced
BLAKE2b-256 ce762d05f518119eb35932e18ffe67bca42b8cb434de8454736f74be9357cd9a

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 a86875983f367225f504f4c3239664ad08719b08b9ab1e61c36ed48becd788e7
MD5 e6e7e4d36c701a9ce3c02acf0627a234
BLAKE2b-256 0423dd068d60ef03610c606ac2c552ddce1bb2fa27bc94487a620211f3c1793e

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 6ab99ee5b4973b293735f77bbe6c09d9c2ce661b3ec55eb9e4307418337957e4
MD5 21b7d83fb23709ab5071c4504122f2bc
BLAKE2b-256 e49ed60442500a0d534b4dc483d729524154f236cb2f335e552b82057358fb7a

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 51c8615f6d52b6f975ab0bd525449e7994f90c39cf4fddb3916cab49782ac7ff
MD5 53e9a05c9d0c299e5a7772f788ada519
BLAKE2b-256 e5756bfd822e0d39c39896e74d2b41e95ddf7e8c2bfaac2458d9db59ed733607

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp311-cp311-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp311-cp311-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 caaa2af44741718538593948531afd9ea7aaf61729aa8750cd0e637c57ee6bde
MD5 59aef74fd720f6458badeb21a8624d29
BLAKE2b-256 e4a01d8485ed07e684aee93093e0ec8d7b36c90084ff39267feb136216584273

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 dfd7a948b7620a575156a37dcbf9dd3c8fceff8138812fbd6d7d9d01452a7190
MD5 504bc03e10a11a8cf33b77433f2e6b2f
BLAKE2b-256 0ebc688be02fc395645703f8c2996a18bb69beea4b4d65ea295908c61b88d5ba

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b5170f0b5d2894410076c49f46b73a98ca03d7b1307072548cbda7aae098edfb
MD5 9e656587fda484c988b7b8f7097b2786
BLAKE2b-256 ef6cade30382950426c7603df5511624140c679565d10de660d60b126696381f

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8b7a1c1c24503a475598c5aaac1ff3bad721bdc6b2830d0c829e9bbf11a81456
MD5 eca328d2d26f192d7a3f7424b4be2f07
BLAKE2b-256 529891fff404bd4c5dff647669d6b54a52b4de9712253bad83137f3b402d051e

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 8a42928cb49a88c543f0c2052c16c665bcd9cd7280ef1e4bb80df6c9ff76d91b
MD5 55f32acb647406c20cdf8f2bf0b1f1d2
BLAKE2b-256 6d355d1bd20de89cc05919cd1efbc5095b49f5ea59f763c4a0f82a8ad306d873

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 d0ff58ff1f3ea7680a20919dc42142efd2f5049a0918c99448f18aec7920218d
MD5 2b3c243ac27aed02ccad8a2771120f98
BLAKE2b-256 6b6f80571e76c7713c451ee7fcd76390262c9fb1ab992cc87c7f5ac10bac99e1

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 015a68e2ce27c8a83c82cacd19914c0184565f0f4bdbb0ade63a96580426a24e
MD5 48608350108552c818c4c16f6ef64734
BLAKE2b-256 9e8ef4ed9f658f521d08802cd094e590153afa2c801ce83fc6ee246f454cf4bd

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 64dbc011e58ed4738ed01de1464960a5f0f35b61c49dea1076b7f4a6738fa3b4
MD5 7010f968867795928d3105257d2878a6
BLAKE2b-256 735524208aeecfa92c1975ecf93f68d30050b528ececad985f754d2cb1accc2f

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 5d3b3531a462a96e9f22755203182bb4501641afcabaa79c7a4b93ab1012e1e5
MD5 4a14f4582861d0f3e368f0532c25e912
BLAKE2b-256 afebebb1b23edeefde35d20b931b8d08ab5a7184a70b90ebb2f3c998b55922dc

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.4.1-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.4.1-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 65c1ec1af7591946552a8d4bba01c8969a51ac4baa8a91d25b1bd0523bdd47f2
MD5 81a04631f3c7c2e4648dd3167704d974
BLAKE2b-256 e5b67bf649baaa1b6751bd2a6ebf91d55ca7b68cb6140aa165233a1d80c119a7

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