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

This version

0.0.23

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-0.0.23.tar.gz (37.6 MB view details)

Uploaded Source

Built Distributions

tiledb_vector_search-0.0.23-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-0.0.23-pp39-pypy39_pp73-macosx_12_0_x86_64.whl (12.4 MB view details)

Uploaded PyPy macOS 12.0+ x86-64

tiledb_vector_search-0.0.23-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-0.0.23-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-0.0.23-cp312-cp312-macosx_12_0_arm64.whl (11.1 MB view details)

Uploaded CPython 3.12 macOS 12.0+ ARM64

tiledb_vector_search-0.0.23-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-0.0.23-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-0.0.23-cp311-cp311-macosx_12_0_arm64.whl (11.1 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

tiledb_vector_search-0.0.23-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-0.0.23-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-0.0.23-cp310-cp310-macosx_12_0_arm64.whl (11.1 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

tiledb_vector_search-0.0.23-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-0.0.23-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-0.0.23-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-0.0.23.tar.gz.

File metadata

  • Download URL: tiledb_vector_search-0.0.23.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-0.0.23.tar.gz
Algorithm Hash digest
SHA256 de70ccb5297dc35127b4aeb63c3abac32ba6ce34d1856fae1d6b493594ff5ddd
MD5 df6ef97c331e6ef7c7de5aae929ebbea
BLAKE2b-256 9178ad29ab09bc6532ac90aef4b16880ecab4a069fee5e71c96a4f3a50873e60

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 357bd7c7158d75ac9edf35a6a1871bf9863ae08b63b5b77fcd152d5e86daad79
MD5 a0de9695f527874f53b3ca660da32116
BLAKE2b-256 6ffe384c9970ddbf822d3644e50cc211c0ec177a1ba1b6738b40b23fa02d96c4

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-pp39-pypy39_pp73-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-pp39-pypy39_pp73-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 f892ec9c6ae281495a0d6db5bdef596f14b206d7175ac50ebb08add5d594826d
MD5 356a9f53106d1e87945605e065e5dee3
BLAKE2b-256 3dcb39acd85966662586b295bd8215ce0957df145bd134e3b4e501c6377a616e

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 968626937b3d9f0e52f8a62b4ff45219601245ff371bb9b36425dca154b9cd59
MD5 da1ca170ca5960717e7fec22289f94a5
BLAKE2b-256 19633a2a43dc9277607224ae85d1ae6911188a6910a02fa1004880376ea2a09b

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp312-cp312-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp312-cp312-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 03a323d1293aba65c8157b0a3796ac79d57d4a61d15bacb5eb0a23ef515638bf
MD5 512c815e7f85eebe24162dff9a40747c
BLAKE2b-256 8881fa786abb5e7594c57740eb00a815c32180493ca1c88b68aa0f2a6e0fcf10

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 c57805fbcb0a5ca0a8b440e3c2dc28aeb6e2603f70e9d0fc4a56550ce884df48
MD5 bb41746ee5a2dfb0bdbae2a640c3201a
BLAKE2b-256 ecfcc083078092fbdccf1db8eec5c55c1866c4d12a47e5e858e6bb132d582893

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6f610c154497064f38ad64b961fd43903065c18c847b40726bc5a3fe005f94ea
MD5 9cd1d552e0edc303a7ff0fcb942d4a4c
BLAKE2b-256 aa81717b9116e02f35aea4b6787d2697960e8a01faba1f7a0767ff0c5fedd4f5

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp311-cp311-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp311-cp311-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 50d384e8b5d4772b225ab9e45e03c40e24edd5bae3a6885485dc6e67fabcc31c
MD5 e63770a8defa9e0a2057d853c917f659
BLAKE2b-256 77c5dbc3bc9baf50cb1473b35d43e29e8128710b104ba19a33ec4814a4296661

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 6022741befb31fd69135dbabeca1247c9b36186368bad8334626657fcc1246ab
MD5 8725d83aa3b98ad08f5b0db2549bad9f
BLAKE2b-256 e8a660e5d469c9b65f37639046b6dc5c4884c71f9d7ea81a656b8bcda3d2771f

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 996095ab989d552a60521de51b4a716d30d96bc18056eb5bf55ae03f56fed62c
MD5 d416f8c8ede0eb23cd3400c4fc3f7159
BLAKE2b-256 3e886d357daf7326c0b89e8fae99c35508a6e9a8abbdbbdaf9241df096cfc890

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 2deeb4cbc1ec70972f817437c19470b12ef02f8fdcecc3b0532150d0d327530f
MD5 3b22724c2de6f197cc1d4a974169dabf
BLAKE2b-256 7c220838620bca7fc2abef6623d846b7bb1d34bc5e6ad7af94584687167e4cab

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 b2e5b3b461faa0698bb7654ab362b4d9139dde89b433e3cf0a10e4b48542aaa2
MD5 5be34e551e55930737a160a7581d2f83
BLAKE2b-256 75c90539895a968bc97231a1fe30daa66884381829280c21b07ee0a189149a2d

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 542d360d7862ee5b9d6f63cb03940ff0f21687ea55075c827170c5a674daebaa
MD5 89970f57de0d3b2692cde27d01289b74
BLAKE2b-256 994320f4bfd8951820565304f4d1fea207b24564dc1ad5350a0f8a2cf39f0d23

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 5a3a2fe2bca3dc3c48f433e722d4f19271bb7c80cb6170b86e6e6095548f47a1
MD5 0208144fa0ee7a6be0a44a86bab5bd80
BLAKE2b-256 0a7f2395c863d45329e1170f71a1e9f8cc03d894e0a7212ed84b67111b13990d

See more details on using hashes here.

File details

Details for the file tiledb_vector_search-0.0.23-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.0.23-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 b5db1cd1e44bd6cedcc7bf95953172b9aad0450024d376eb89cd16059bf03039
MD5 aba77a4990fbd312ad76d2a44ea2ffef
BLAKE2b-256 b30babaa26b3ab40e6587ed97bd41070b0335742a6dcda35233cdaed0de664f8

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