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 are actively working on 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 Distributions

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

Built Distributions

tiledb_vector_search-0.0.14-cp311-cp311-win_amd64.whl (5.6 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb_vector_search-0.0.14-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (13.6 MB view details)

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

tiledb_vector_search-0.0.14-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-0.0.14-cp311-cp311-macosx_12_0_arm64.whl (8.5 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

tiledb_vector_search-0.0.14-cp310-cp310-win_amd64.whl (5.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb_vector_search-0.0.14-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (13.6 MB view details)

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

tiledb_vector_search-0.0.14-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-0.0.14-cp310-cp310-macosx_12_0_arm64.whl (8.5 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

tiledb_vector_search-0.0.14-cp39-cp39-win_amd64.whl (5.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb_vector_search-0.0.14-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (13.6 MB view details)

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

tiledb_vector_search-0.0.14-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-0.0.14-cp39-cp39-macosx_12_0_arm64.whl (8.5 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

tiledb_vector_search-0.0.14-cp38-cp38-win_amd64.whl (5.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb_vector_search-0.0.14-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (13.6 MB view details)

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

tiledb_vector_search-0.0.14-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-0.0.14-cp38-cp38-macosx_12_0_arm64.whl (8.5 MB view details)

Uploaded CPython 3.8 macOS 12.0+ ARM64

File details

Details for the file tiledb_vector_search-0.0.14-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c054538ec589d25e1820122a035d75bfca0b46e44c69875eb3117b749fd7eed0
MD5 98141c2f104a65cbb42fd6239ded1921
BLAKE2b-256 b5e14c73e72488ace49a94621ba00a3c259f145aa48d827b9c3b03ea3b0e5d45

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 98af92c356f8ce2caad3195c9107799823cc789fc61907e9d62953d5939630f6
MD5 4ae8488509937f025f6c86b61517baee
BLAKE2b-256 87cd7b490581b8eb88ccd86f6e15317a118d9202101855eba7b352cad27b13c3

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp311-cp311-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp311-cp311-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 3812379f1ab2e64da775cce32fc4ae0a94f73705b0309573bf7b4a5e02d12ce1
MD5 70f985198fa2d15e724084ca024cb19e
BLAKE2b-256 d49766ec0b386564583f27f0730786dc8b6556f9ab6616b2d068ab9ac9c56841

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 2ec950a4e459caf8af497d9593e51a609c399046b307d4a46499464e2c01df1a
MD5 47bb65fbc3c1ac3ce155fb7b1c206341
BLAKE2b-256 e8ff8be5878eac5371601573a7f549392cccda580d62cc92fc30893990b0830f

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 22075754d2f1165a41a80d97816981f9762c674ebdde1621289461cc671d215e
MD5 057738da520223678ff2fbd4320e86de
BLAKE2b-256 96f3655878cdcff5c543879cafb813133d7d478245962a6c71daf75b1f832d9e

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 bd7952064da1a4a0e887cbce9eb83e8f1577b73477506d8b4c3d0799ae33f9a6
MD5 b89d6c6f99de20d359e883162ab015c7
BLAKE2b-256 97bf5b533ffce1e963106e6b41d6b714df40d5711d83193a4daa9be25291f7fd

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 3b69a7c7030322e614d93d77c13cb3375856b9cf81204715927c4d634dec44b2
MD5 7f5dc0d93778303d7ae9f5db5b954590
BLAKE2b-256 93f5a5e152bcfa38ed17b5707eea7722901f49403acc42cf187b033b406f860d

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 02ea01c7cb385068371b44e3a4a76a941fac5d9ad6eedf33d83a011aa8aadbf4
MD5 4fe46bdd164042e41af87ccdd65bbeb5
BLAKE2b-256 2f65c2ac29d0bdd8ccfe94b3cde545e3ba4a35552672bc69222fbdec9d83ae8d

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 04f34d49557d6e53340bdce17305bb533a60e76622e162728b59302d046cdeb7
MD5 b27d851a154c04afae4218672e6a8295
BLAKE2b-256 b136fa35fecc9a1cb8997f24faaae61d64e3b25aca5606c85806f38319c2a9ff

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d80b826d2f838deaf56652cb6c65b97f25e1107307d37a13599ab7a8a36a7313
MD5 545d3a0e8841c18afbb76a3e1d6cc34d
BLAKE2b-256 2b84cbd77baa0e5522d8ceab57faa835d7ddcceecb297944b1d22bf7e39b0c7a

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 21790fa8a18f9fb8464dc4f5a99add67961cb35e8e26421ae1cbbda7a9e1fdf7
MD5 5adea34ab1726b737f78afa6f6ec1351
BLAKE2b-256 35de770455310a1ee6ff4411160e4cf888e5a07acbd1c55db873b196d5597822

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 66edce17863250af8c88c52bee3da6cdc2605045e28bd3c5a5c80332e8928e7b
MD5 333ca72476a0c03987d2b85d4eb30f2f
BLAKE2b-256 f8ce1e7d724890cf5a921bee818120489ebac80bb391451d78109dcbb6a57a7a

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8f3b6efe7414c79ab07ae417926c7dcdcbce1a2da60c7d060316d0afdabdaf59
MD5 76fd1d272c7cfaa048dd63d9cf136f6a
BLAKE2b-256 a910d1cd91616e13ac0fe469cd45e6990ba726e547c41d47241f455824e2eb62

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b2896f726f36380229a7888f4d3048e70ce19dadea0cf1ff67e99b7f2c891d8b
MD5 78f87e06608c8d2a7ca321d17f854c61
BLAKE2b-256 3471e1ebd6835f97e0808d8e73bf266257b020d055378afcbdc7bb852b0c7dfc

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp38-cp38-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp38-cp38-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 985733f4ddbc7125187d3712b4f620f593a6a09945eae08b4353e4c709dddcfd
MD5 22eda1ec7a603fa86e42baa955897478
BLAKE2b-256 b9a8bfa288a353c5e5aa60f8484796ad11c52011172c89929423799d246af160

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.14-cp38-cp38-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.14-cp38-cp38-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 06ab94e62499c198c1dc90fddc6149a20bb78e911437abee293a41c2df596f48
MD5 16bb68a29cb73eb52c0ad87591995cfa
BLAKE2b-256 5ba22beea5b6a20d51214681d274fb89faf4330cd7670c539c0131f195c16f55

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