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

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

This version

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-0.0.22.tar.gz (37.6 MB view details)

Uploaded Source

Built Distributions

tiledb_vector_search-0.0.22-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.0.22-pp39-pypy39_pp73-macosx_12_0_x86_64.whl (12.4 MB view details)

Uploaded PyPy macOS 12.0+ x86-64

tiledb_vector_search-0.0.22-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.0.22-cp312-cp312-macosx_12_0_x86_64.whl (12.4 MB view details)

Uploaded CPython 3.12 macOS 12.0+ x86-64

tiledb_vector_search-0.0.22-cp312-cp312-macosx_12_0_arm64.whl (11.1 MB view details)

Uploaded CPython 3.12 macOS 12.0+ ARM64

tiledb_vector_search-0.0.22-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.0.22-cp311-cp311-macosx_12_0_x86_64.whl (12.4 MB view details)

Uploaded CPython 3.11 macOS 12.0+ x86-64

tiledb_vector_search-0.0.22-cp311-cp311-macosx_12_0_arm64.whl (11.1 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

tiledb_vector_search-0.0.22-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.0.22-cp310-cp310-macosx_12_0_x86_64.whl (12.4 MB view details)

Uploaded CPython 3.10 macOS 12.0+ x86-64

tiledb_vector_search-0.0.22-cp310-cp310-macosx_12_0_arm64.whl (11.1 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

tiledb_vector_search-0.0.22-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.0.22-cp39-cp39-macosx_12_0_x86_64.whl (12.4 MB view details)

Uploaded CPython 3.9 macOS 12.0+ x86-64

tiledb_vector_search-0.0.22-cp39-cp39-macosx_12_0_arm64.whl (11.1 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

File details

Details for the file tiledb_vector_search-0.0.22.tar.gz.

File metadata

  • Download URL: tiledb_vector_search-0.0.22.tar.gz
  • Upload date:
  • Size: 37.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for tiledb_vector_search-0.0.22.tar.gz
Algorithm Hash digest
SHA256 3203b8df846c7ea23322e3f9cd9b9d7f21d4c3d53b841270331e9902c8eb0cf3
MD5 215791bd25dcc8acf2998348aa22572e
BLAKE2b-256 70049484cf3942101a3015d51c1c3305e1f33ed383ee3d35ba0244272580c168

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 119eb5cb21a874d49e2eb648bf7a708daa7384991ee23eae79d0d4a4844d7ab2
MD5 0e9291daf9ff8e597d13bc9277942a99
BLAKE2b-256 0169145baac57fd4a15e65881544c57ff949d451a247d4341ad66a9c0600d97e

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-pp39-pypy39_pp73-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-pp39-pypy39_pp73-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 de2b0e8051b8421f1253bfa2b1a3b325e30e51adcf76b2cbb374d1511f9a10d9
MD5 6e3d0cda28b8f435b6938c06d6914eda
BLAKE2b-256 6097141acc467a9519d58e8d539a2784d2a78f4becd44cee6cbb824f461a0c2f

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e8b8444f2e860e4e41b8110f4b3720c80dfec85f9441060dfa11f4b93afbeea6
MD5 db1ac0d26bb214bcc69eefff89e5be7e
BLAKE2b-256 029d9c1db0255f7a153c4ede6b150973077995642ea90e7f907447abb1a4c057

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp312-cp312-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp312-cp312-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 0671d3f20fd90102d6116361895fd18ce4b925998ac59ae207251672c9382537
MD5 f6843a68f0a405b290323a98622ba08e
BLAKE2b-256 ff10a149e6921c10bbe7188ac473601655ee48655bbedc99d117ef6517a0ecc1

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 caf6fdd0afd418386de3d103a620ac6a7620790dab09117b9591ecdc67aefb81
MD5 8d4faa6922e9dc506fe6cada7cefe072
BLAKE2b-256 b634f91afb6793ac199729d5a81fc7b22a61639f9d2d0b709cc2a6a7d75707d7

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5005120f63bfe8e48e36632f9d49c8301fc414c11287c2790834cf815f440f33
MD5 f2019b25c28a24b6560899b7fb1ab899
BLAKE2b-256 5f8854aeaeeaad59e5eab7f0afb29505664216d1b1faaef0e1cf2c4bc17702bb

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp311-cp311-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp311-cp311-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 a0f84f52d5fee75a1e2bffd2bee660725c34c19b06bf7dcad4471086666007b1
MD5 c021f0aa49eb2955bc9f70c87fae90d9
BLAKE2b-256 6bd52722aa3c3628dabd23a50de285b4ffc1ee75afb4f5aa802d6035a3a664c3

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 925c9b435ed13ee0297625985df7974697a3ef580a48339cc2403701df2ba414
MD5 8da67d836e4f5249abe7cb60d1522b03
BLAKE2b-256 904ea83628dd74ff1844a9cbdc14425c94fffbf79268e90ac5ddaa9ae5314b89

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 19334295c6c1176491ff7d804042ce4bc7ba6c597bcd8b22698192c5069857d7
MD5 9ed44582caf0cd4f7f97a77c7d07bd84
BLAKE2b-256 e812e05a8a96cc6c2a6e857672c96eb9ff4e48956070af11b9f554ded7f1b0c6

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 4fcea7079f32afb1fd9eb089459f6c9f71dca0238f819b3c79f166862806ba44
MD5 ffbcead4679793130c3cf1ce3891a66d
BLAKE2b-256 9e7e2685076e66cea2d1994490623a1c0fc6b9d0e2aa11c37557f6045ffff09e

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 fa82b819fcc49a36b8a2ad9dac4a01dbab8c2f46ac460b200a69ee04d11997a9
MD5 e365e16291b767a5f0e658a6a196cb6a
BLAKE2b-256 2be752f401dfaf8ea2b1682c74853114682c5561afb219a3b4cc471d4e8164df

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bf3876223f05448ace0285e5da119a49f3ca0fa564681dc39e5d833fd836bf29
MD5 e13cc2bd89b989eecc77b313129b2673
BLAKE2b-256 92cbb842a97625d9367d8d8c67abd795a9d3c5deb5bf097b71406ae01e89fc6c

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 7a03215c9f22cfafa0aab0dd9de4d758541cf9d432fd97e6bf549370c51a037c
MD5 1a44373a9afd70b84e1a067c6dc1f891
BLAKE2b-256 b78be579ec2dd81ed1ad09ab5864ec740d2319bbd696d31aab12a3237b3d6599

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.22-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.22-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 fb3e14d1ad0c9e144cb1828e172a181faf7ac5d210bac485b1d2cdd243f27252
MD5 6e6d746522a7f8bdd8c9ad935fd3a5db
BLAKE2b-256 460b427c06a205df0f0789ea41760ef9db2f031f4e42a74d659a32cb597dc12a

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