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)
  • Author: TileDB
  • 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.

Quick Links

Quick Installation

Pre-built packages are available 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)
  • Author: TileDB
  • 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

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.14

This version

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 Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

tiledb_vector_search-0.0.9-cp311-cp311-win_amd64.whl (5.6 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb_vector_search-0.0.9-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.27+ x86-64 manylinux: glibc 2.28+ x86-64

tiledb_vector_search-0.0.9-cp311-cp311-macosx_12_0_x86_64.whl (10.6 MB view details)

Uploaded CPython 3.11 macOS 12.0+ x86-64

tiledb_vector_search-0.0.9-cp311-cp311-macosx_12_0_arm64.whl (10.6 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

tiledb_vector_search-0.0.9-cp310-cp310-win_amd64.whl (5.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb_vector_search-0.0.9-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.27+ x86-64 manylinux: glibc 2.28+ x86-64

tiledb_vector_search-0.0.9-cp310-cp310-macosx_12_0_x86_64.whl (10.6 MB view details)

Uploaded CPython 3.10 macOS 12.0+ x86-64

tiledb_vector_search-0.0.9-cp310-cp310-macosx_12_0_arm64.whl (10.6 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

tiledb_vector_search-0.0.9-cp39-cp39-win_amd64.whl (5.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb_vector_search-0.0.9-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.27+ x86-64 manylinux: glibc 2.28+ x86-64

tiledb_vector_search-0.0.9-cp39-cp39-macosx_12_0_x86_64.whl (10.6 MB view details)

Uploaded CPython 3.9 macOS 12.0+ x86-64

tiledb_vector_search-0.0.9-cp39-cp39-macosx_12_0_arm64.whl (10.6 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

tiledb_vector_search-0.0.9-cp38-cp38-win_amd64.whl (5.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb_vector_search-0.0.9-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (13.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.27+ x86-64 manylinux: glibc 2.28+ x86-64

tiledb_vector_search-0.0.9-cp38-cp38-macosx_12_0_x86_64.whl (10.6 MB view details)

Uploaded CPython 3.8 macOS 12.0+ x86-64

tiledb_vector_search-0.0.9-cp38-cp38-macosx_12_0_arm64.whl (10.6 MB view details)

Uploaded CPython 3.8 macOS 12.0+ ARM64

File details

Details for the file tiledb_vector_search-0.0.9-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 63c6dd223c58dd62a0f8cff4d8f049ae679d763cf9b3214bbe643829394d1b61
MD5 0c065312399d1dfa556812b69d721907
BLAKE2b-256 88cd3968fac21315eeb11b9ed450988ad1e0bdac2e156d54319f2cf8ee173162

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 0fa9f54dd4a4baca0e89d3e61957e9a2743abeea5bab0850c2c4f09fe00bf8e9
MD5 a0c36affd7a089be03c8c17c4b9ec116
BLAKE2b-256 2499b7f53e1de682532386683b20cda951648c36fc4ecc9f518d0791069c10f8

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp311-cp311-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp311-cp311-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 41aa7690a8c81923e05fa9d8a9ddf72a9be5b6da4e45b85ead95458cb98caa5f
MD5 f52bfc8b26c3dc1e8292ae40725ce57c
BLAKE2b-256 3d89bf002547be287e60089aa1003a74e5ebf815a15117514a83ae46c6b7e8a7

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 eefd53bec58972dcf1626a14f74375e6cea99b8c281dbb755109d41ec26eafe1
MD5 1fae185cb3f215c59ad1a7a8e552f379
BLAKE2b-256 95dbfe8368f2b57ec026a63fba1cce608aa9779d3d2a53ef7454ac0e9466db25

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 dd1b34422fe4542b279793597eb183b81b3615256cd02916f9fb397523543ecb
MD5 665aca3000edee0fe671aefe86d6629d
BLAKE2b-256 4c4c233bc83266a53d9fe0a2baf3b762c7d5099f17a505e0285e6a8b426a5f29

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d5b7871fc3d3e071d4fcd04055f5272d1f2cdb866bcf38bf28653f3bb4494439
MD5 403726f3719abbbe6f4916f43e78c9c0
BLAKE2b-256 a7bad6cd1dc279fed22ff9cce2fb0d67a259bdae035b20d354ba93fa1b467e6b

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 57c2855378d7f82d00e3f05ef8f43b37f3acf89954a3e1864302a7e8b29b7dd7
MD5 6b5c27293a6938b54a5e8850d73584d1
BLAKE2b-256 482fef429e2d62e7a0f3890ed37cdf9d0d86c039acce88adc48a99e97499f5f9

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 d8fde81a2a49710f30c209e8ac0a09e4db48290802073f8fcbc83ffbbf8c2f08
MD5 0d0f7d46e0455978254c967703fa7f22
BLAKE2b-256 a920e1a848f750cfb86994829e2d89ae3fddce7e41e49093ebcab62a127ebb11

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 fa80b35997dbed71cc47c32d79e1f295b52c3cd0b7ffa9ecc5a7d1cbd0d2efdf
MD5 3b158c4a603a4255a4973cacbb247307
BLAKE2b-256 d9f2db9d6c976be458f23aeb7bd75d8b9b6a6e1ba9e7d8b7ca36dd940e224b22

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e30cccfc92714842e8e943543bd9884fdfc14982f13c9a775d91a5afe9097440
MD5 52e2077925886b015021d16a2c739f0b
BLAKE2b-256 554460ad3fd88757cef99f84eb1274c2f7da3e4ca689000819326e5192ebb71e

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 7374d5e68e578c8a0bc215c4a9368c27c06e0c0d0956f620d63e090522e13ee6
MD5 8d98027f323e3414f6db326291fccbaa
BLAKE2b-256 b23bc37e6527a2acd6a76bd206b6ea54938cda3ef0647a580ac6500faedfa299

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 9c7e94b32719a330e492296d0e703074d0e6ec6c22eaa82355b0472a8127659e
MD5 49d4a2c5ef7f96c5701144c7f61f24c6
BLAKE2b-256 9b8f5288e7d50cfec6ba7b4e85ed3947e0ac38393974da2ebc5af2adc0c2679d

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ba2b2306a545a5f8a2bab80b72dea780370851504b317be8ec7f7ebf332b66db
MD5 e48ac4193c10d7f917a86957ef79c988
BLAKE2b-256 919394f107cc1cc14540958709e2dd93cbe9f9ce4484042809649590cb8c1d12

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 8fdf9b9fc6a4f7566e5db7d7933acd2eda31cbe7b536f71b5fcf1b698353ed0a
MD5 7bbc096487d087ee6f1352b7c5c8143a
BLAKE2b-256 8f61892b839abce9763aff4059acbbe44c09333eb0f5937afe31a051a17f90ac

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp38-cp38-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp38-cp38-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 df2d1b05a6723aad78294c3a6949143bc5c8fa043c7b15d0dc68cb7dc3f6455c
MD5 2fdcf0a7b050eb1f0c083819d2c437c8
BLAKE2b-256 07d714a5b9f270dee6534b9f141235bfbfd34b1acbccf7d9c2d1adeada303eba

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.9-cp38-cp38-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.9-cp38-cp38-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 c8cc0981ca2005f5302bd91426e40c40220559ac3e4d790a773ea2352f84c789
MD5 91e80a451a8a69ad1065ce7e036dc15a
BLAKE2b-256 281748448d48cb3c02b5738b14c76ff48ed91a1cffd1196a08af85fe081ba71d

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