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-0.2.0.tar.gz (21.8 MB view details)

Uploaded Source

Built Distributions

tiledb_vector_search-0.2.0-pp39-pypy39_pp73-win_amd64.whl (8.1 MB view details)

Uploaded PyPy Windows x86-64

tiledb_vector_search-0.2.0-pp39-pypy39_pp73-macosx_12_0_x86_64.whl (12.5 MB view details)

Uploaded PyPy macOS 12.0+ x86-64

tiledb_vector_search-0.2.0-cp312-cp312-win_amd64.whl (8.1 MB view details)

Uploaded CPython 3.12 Windows x86-64

tiledb_vector_search-0.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.1 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.2.0-cp312-cp312-macosx_12_0_x86_64.whl (12.5 MB view details)

Uploaded CPython 3.12 macOS 12.0+ x86-64

tiledb_vector_search-0.2.0-cp312-cp312-macosx_12_0_arm64.whl (11.3 MB view details)

Uploaded CPython 3.12 macOS 12.0+ ARM64

tiledb_vector_search-0.2.0-cp311-cp311-win_amd64.whl (8.1 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb_vector_search-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.2.0-cp311-cp311-macosx_12_0_x86_64.whl (12.5 MB view details)

Uploaded CPython 3.11 macOS 12.0+ x86-64

tiledb_vector_search-0.2.0-cp311-cp311-macosx_12_0_arm64.whl (11.3 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

tiledb_vector_search-0.2.0-cp310-cp310-win_amd64.whl (8.1 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb_vector_search-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.2.0-cp310-cp310-macosx_12_0_x86_64.whl (12.5 MB view details)

Uploaded CPython 3.10 macOS 12.0+ x86-64

tiledb_vector_search-0.2.0-cp310-cp310-macosx_12_0_arm64.whl (11.3 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

tiledb_vector_search-0.2.0-cp39-cp39-win_amd64.whl (8.1 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb_vector_search-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.2.0-cp39-cp39-macosx_12_0_x86_64.whl (12.5 MB view details)

Uploaded CPython 3.9 macOS 12.0+ x86-64

tiledb_vector_search-0.2.0-cp39-cp39-macosx_12_0_arm64.whl (11.3 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

File details

Details for the file tiledb_vector_search-0.2.0.tar.gz.

File metadata

  • Download URL: tiledb_vector_search-0.2.0.tar.gz
  • Upload date:
  • Size: 21.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for tiledb_vector_search-0.2.0.tar.gz
Algorithm Hash digest
SHA256 f2983b8e46768246159996c2b3ad28a6b0e9d98a2c0fc1a489c8bf3b36d8bfb1
MD5 86a5733e16a9e147bd2268d59927fd33
BLAKE2b-256 6c1dd87264121f20eb6befc4ee88a98d0e0d097645d8fbf7cd18fed63f7defea

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 a686a098ab832256b28d6e84fe1faeceaffb38a36d187afd20e4450350f01932
MD5 7bc31aef58740e2219cda8922251beac
BLAKE2b-256 d43536caa8c9e87498ed2dd96db1dc85226c2f54b62d777830e782eb7d0ca25d

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 516950b3e1aacdbd1415f913bdf3d004ae3705181f43b7680e82c4470d8c453b
MD5 92fbe95e6d6faf92a1b87b8f1a1380cb
BLAKE2b-256 b52fca82df29d0d815ddd633acfe249ac299df7bcd0d707d2bed5378f9b8a99b

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-pp39-pypy39_pp73-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-pp39-pypy39_pp73-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 601fd95fd31c82d7c3c67bef774943160c3af497fc2733b49ef6493b53cc90a9
MD5 4651460343b79a6e7c315c7b6ebb7099
BLAKE2b-256 6b2e4f1e7d6550059ed6634230abff446b596f23b877eaed086d7c36b833a52c

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 bb1b9c32fa9074cdcd9112ba6b1f8c890b1602140eb6a2c65e4a803ce2be3f2f
MD5 7403931da1f923559fd650c764715322
BLAKE2b-256 57662d583f5bc9d485a4ee62fe722146623be67ddbe5d46e769fc1fb2b3d2f99

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 99dddb988f0f13f41cf57a85d72752a84fc6e17e3ccfbd1eeeb840d1e770b0d2
MD5 0189807894cf3445fb5f77a7ca95d9c5
BLAKE2b-256 97bd0a768fb5ce0d3b69ba2980d79197e5ed4bde4f5de8bcf2b2dc086dfd4089

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp312-cp312-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp312-cp312-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 5d1ffb7b48535a58882507ba2cd1a921d9461fe111e436fa694130ad2990872a
MD5 ed4ceb2472196aef8bf4bc96168004a2
BLAKE2b-256 55d8ca52a4e6d42d76d405f601e296081e6c6c98cdc67cd0dec40f4f08170766

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 8b361a433db88970fd26bc68bc055686773fefc520bdcc705eec5d5f5b5a0557
MD5 91d0f09f5a4f2383ba77410722ea5777
BLAKE2b-256 f35740b398250723f11036b0ab5b38d2a2cb21a76b71e9f550171d8b25e16198

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 976e8d0f1bebecae5877e9e4ef5a681e2bb08b20f19f6235b8feed925ac93d0d
MD5 aa6186073be1248e965306eee19bb21b
BLAKE2b-256 ffe004829ae020277c8efb658690cad2bda89922bb459e2df6383e6794511dc3

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2819426bcea88199e7fc61a5b3a7da39c7fd31cecf6b1c6fbd1f10cddd6bcf88
MD5 f99baaa10d28f60dcf24957dd036b589
BLAKE2b-256 40734b43789a8d019ea9e2ab9d12aa43f38bb91d2831d3303b097adca0b90fea

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp311-cp311-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp311-cp311-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 565ee3fad7d6169a18bd167384097c9a8b41ab9779426fe6c0347e4450077c47
MD5 df0d0f0166e9df412c09f361db8ab110
BLAKE2b-256 1a0ce244ec0073c9ff4dd8d3b333ad3c8f8ef5bf6d8f5595261034b7a8f1c8ae

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 0dc13dc3ac1482474fcc4a58c65082effc378d926eecea04deeef09b2da7d97d
MD5 b83e16c66108c583beb78ef1b593284f
BLAKE2b-256 920067a7e857013c4385358893b341d13d1df37a591b18c26fe36fd845e2fa55

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 2773e5cc2bd5300978fee0189417255ee86d5d191b0f92b4fc42d8c271789df6
MD5 cfe4c0ac91c8a679fe3a05b0c2020470
BLAKE2b-256 17807c1467c6206beb821e359cd62eeba0c292f19201fc0c9f4c6df721f97a89

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9bdf4646082e81fca6a7a8f3881fd80c423204af376a6c7b5da3a74f914895dd
MD5 ec450d4f56684f9cf31bdcf9b39a6449
BLAKE2b-256 e65687b39074c01699c84e2f88ea669307286a2ee35faa5032b4ee030119284b

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 b5980d7fbf8895d1e92260eb2f1b7f42ff4f086ec6cced356034ce558ea9825d
MD5 b823b0f20295c7e941af00f131194e75
BLAKE2b-256 084896e6738ebc3965a0cacaf7862435f205d1a36ce2cf2704053e8032cdd374

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 b322b38cf90ccd24566e4bdba843c529fa49667c8aa20480ecd3fa77597bafa0
MD5 e9134c609e199d52ac5664867ed26abd
BLAKE2b-256 a6aa7d3c1475c268fc0f19312491e90b0dc9ceaf597ecd8953b86334048bbfeb

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 fdbcacb07d8d2c6a4bba0e3a0b4b8b39e7acde6543f2d8a19ed1216012541779
MD5 f946b1f1394dbd34a4f47b6a6adda377
BLAKE2b-256 0323783e106823dc208a60bf02f4e361c76782ce91cbe82ba31200b417aaf11f

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 62978814a3bbe58401b581494492d960065ff37991b109d918f0e47575717de5
MD5 c7dfe7c24cb0732da2d541f06618348f
BLAKE2b-256 ee9cf95596144d20cdb23c46d481593150e8e26f4c5f4316ebf7080d7ecc54b5

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 a44f8b22b15cdfa8aecaba433c60f4f6fbca866a02138790865f28e65f01642a
MD5 7db9720f03a1c3e7af16cc778b0565cd
BLAKE2b-256 05ef8a75a2b03678001389087063e54c3f8c398e16f4a7c139511ecd4c6c23b0

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.2.0-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.2.0-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 274bd544ed6e7a796206dade401f9cabb1f2bdef3d6e47ab1c1fbe7644786e7b
MD5 ae6a087ad6ec71ce46c87ae4e07e0d64
BLAKE2b-256 7b8070f6c99398b1427c225f17ea9d00a479e7b15c9e9ae06fadecea9b5a623b

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