Skip to main content

TileDB Vector Search Python client

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


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-0.10.2.tar.gz (17.8 MB view details)

Uploaded Source

Built Distributions

tiledb_vector_search-0.10.2-pp39-pypy39_pp73-win_amd64.whl (9.9 MB view details)

Uploaded PyPy Windows x86-64

tiledb_vector_search-0.10.2-pp39-pypy39_pp73-macosx_12_0_x86_64.whl (15.3 MB view details)

Uploaded PyPy macOS 12.0+ x86-64

tiledb_vector_search-0.10.2-cp312-cp312-win_amd64.whl (9.9 MB view details)

Uploaded CPython 3.12 Windows x86-64

tiledb_vector_search-0.10.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (73.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.10.2-cp312-cp312-macosx_12_0_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.12 macOS 12.0+ x86-64

tiledb_vector_search-0.10.2-cp312-cp312-macosx_12_0_arm64.whl (14.1 MB view details)

Uploaded CPython 3.12 macOS 12.0+ ARM64

tiledb_vector_search-0.10.2-cp311-cp311-win_amd64.whl (9.9 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb_vector_search-0.10.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (73.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.10.2-cp311-cp311-macosx_12_0_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.11 macOS 12.0+ x86-64

tiledb_vector_search-0.10.2-cp311-cp311-macosx_12_0_arm64.whl (14.0 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

tiledb_vector_search-0.10.2-cp310-cp310-win_amd64.whl (9.9 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb_vector_search-0.10.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (73.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.10.2-cp310-cp310-macosx_12_0_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.10 macOS 12.0+ x86-64

tiledb_vector_search-0.10.2-cp310-cp310-macosx_12_0_arm64.whl (14.0 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

tiledb_vector_search-0.10.2-cp39-cp39-win_amd64.whl (9.9 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb_vector_search-0.10.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (73.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.10.2-cp39-cp39-macosx_12_0_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.9 macOS 12.0+ x86-64

tiledb_vector_search-0.10.2-cp39-cp39-macosx_12_0_arm64.whl (14.0 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

File details

Details for the file tiledb_vector_search-0.10.2.tar.gz.

File metadata

  • Download URL: tiledb_vector_search-0.10.2.tar.gz
  • Upload date:
  • Size: 17.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for tiledb_vector_search-0.10.2.tar.gz
Algorithm Hash digest
SHA256 c844ccb499689df08e164b169d0c567fe4174fd6600e67d5d16fe9dea6e5735a
MD5 8d2f062edb9e7c5b5fb42cbc73d9143c
BLAKE2b-256 4b32f071224b783ea6b681cf27a4443e5c97954153dc44895414fb274de324b7

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 7c01381fe16ab2db092ea47175dca03261d2b8426e698735f74844aee975ad20
MD5 f92092d6c581019ab2055c09f46c1e5c
BLAKE2b-256 c247e283c4abc80ac0fa9be7f3f4c9d87cd849e3e51f3e19fae7f79d86a1a2f0

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f36f5a7b03fd3dcb61a4829ed89993eb71cdcdd00193402f4f79d0940bb9a597
MD5 5eea626b9cd29d00a531a41993b51807
BLAKE2b-256 de434716fd82edef94df33e6c932de98514d303f7d66eb40e22cb02b0b9f2118

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-pp39-pypy39_pp73-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-pp39-pypy39_pp73-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 183490c9e8ba216bb30198e36d41a9a8c86b1db217830dc732c9d46648c60d30
MD5 dc70c2b54215bddc99ac806fa8e22e4e
BLAKE2b-256 7c01b0de867ffa2dc6523c2052d9948465a8ec84b24f52d6a82568d721ff904f

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 2cf1f1b92c949c30f94a69c84c7b0ca7da986a5d0ca680d788a4782ad0fef341
MD5 8dc88bb1bda58e07eb99ed8a64676395
BLAKE2b-256 83a224061b4df95a9a7846029be4c97326380a3acb14aea6fe897a9bfcef67ab

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0bab55f13792a47a3d4668536460f97a477fb933aff4fb658d406963e56a9134
MD5 27a084bfb7217e88fe1a1849a3fb1217
BLAKE2b-256 cb9ce94f1496151bc876b8f8de9f5f8e53f3da8a16f69c9e1a8799f05b8eee1f

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp312-cp312-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp312-cp312-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 ffaf083ce9f02cd063987887f012464b08506515f9021d4334c190353382504e
MD5 76d800fde23b627ac23bcfd27c6dec78
BLAKE2b-256 14147289819d22cc5a442eb4f22a1d77619b0d5b817a348d48e1067fdbb93ad0

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 cb293cf54c33c36c01504e592ad19e1a1272733a43c33175ecc8d7854d5f3342
MD5 865494f95682ae5fda2bc6182d28ee35
BLAKE2b-256 b2e42845e49f685fa22eb9085ad5b870d644cfcdc56f9b34bd9db4ae226fc2b9

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 59a0d59301650f45150da49e0b2c57116c57c5656435659fb9b1a28f90baa283
MD5 570259101497a5eb119eeeb91986c462
BLAKE2b-256 b0f4a7b24f36aa82697baca7d98e4bd72836a2f89d8001a7af5cb294a3f84707

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0f55d8fd4f03ad415b8f2bd93ff867e64500a50a78c65e18d2888b2c25aa669b
MD5 39546c1dbcd3dbb04f5a99de2acd49d0
BLAKE2b-256 ad7a679488fda5f41b8f3adffd819679a30df7eaefc83f0ac71045b72a0c1b35

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp311-cp311-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp311-cp311-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 2997539fef49a1a0bda6d4f0565767b4e6d4c461f661a3373f66b5bfcffc4950
MD5 d5e576b9de4999001a9a6414fd40cece
BLAKE2b-256 862b0bc50cdd75efe59d35814e7512e9a90f67dd2464604b25a815fc7af237d6

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 494832c1534c1c40014a43e9fd0dc3428f25d487b88817eefc16a84b6f9ae50b
MD5 8ee0297d36a78ba1b64d9a0f761f237a
BLAKE2b-256 bfe0db6c8fb2bedf8d3feba34e6968ece5c7a8dd22a940a482c9e75cb80436a2

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 fb36f56b892e6b5eef49d26bbcd10da84687de2127476e40ffb6b36302e7ca0d
MD5 e6e95c620f010f6270d9a42b1ce467ed
BLAKE2b-256 29871d47a2cc8b8421c5f831bc59629b5b9fe99b71a58c3f045246e76b18cf03

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b2df12666346741d2d2561da52b8755bbcbfad1a35c4b8b5014fe9dbfcbd39b6
MD5 3682970a9e74b58c00ada968b826b0f9
BLAKE2b-256 ce09b32d7479524ba175491a6664ad93a03eaae912572098f7e2bd82bb8f566d

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 4080110dccb0171b0bba78336f00af5e7d888f4a898a5bd5517e8e2a05b58ecf
MD5 c3423daf64eea007d08c2924c5ed90cc
BLAKE2b-256 ee0243e3fcc4e44e2247cfe71f686a021b83eafa237f4e39916f38f5e7724c12

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 d5c611ec5bb09307fe96db30163f5092aadd014c73973c8e66e536eaa59d2760
MD5 0790b6ee0f7a68a946c58630c70c2e60
BLAKE2b-256 c1668bd83800714bc661f8ea811f08d743eb1b29ca80798c9a37b509af40a661

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b87f5bc5576fc08aedbe74ffb1f79361846eb30215a15be6e4bfb4cb3187494f
MD5 e978d8ca5a011629c9480e38f7fbe514
BLAKE2b-256 78ad9681e12c8286104c95c1e7d4a36b7950a702b0456f79be7934173f870485

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 92a514421bebe6a432c818958f75750a3de3f3db3eca2dac479a49cefb8707e4
MD5 85ea7406463e8e49c782c23e23a0ddfa
BLAKE2b-256 cfd45f33ba2e318a753c707efa45a745861d170730decae85a70a8ec0309a9b8

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 2fcc7e451ea0b98e2ef993b7de74c3a6f141c68d70cd21e1046f6d52ed7d10b5
MD5 809dfcb6a721a5759ff1252a0776a0f2
BLAKE2b-256 744554687a869ae2c9bb2b33e04edf88ec0ec02d02be4fd3382f05532b0c701c

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.10.2-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.2-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 ae77ba456e41544d92be0d08de5ac57916107952e43fc7d749e6c0c4ac3f206f
MD5 a1d0f6f3568f662cceeaa8b25dc2edfa
BLAKE2b-256 8408151b37df7882f3f155a7b8cd54d9e1082d2c3b1be54190fd1ab6fedab1c4

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