Skip to main content

Databricks Vector Search Client

Project description

The Databricks Vector Search client is used to:

  • Create, Delete, List vector indecies
  • Similarity search
  • Populate index pipleines

Documentation

Limitations

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 Distribution

File details

Details for the file databricks_vectorsearch_preview-0.12-py3-none-any.whl.

File metadata

File hashes

Hashes for databricks_vectorsearch_preview-0.12-py3-none-any.whl
Algorithm Hash digest
SHA256 135f647b9aef7393822e7a1b8eeab34f7b8446316d2b1eeede8e69c5446401b5
MD5 73b716a4edc268ddfc19cc0fa7c159bd
BLAKE2b-256 e874e3e7ab878f66b81674a8818d6aa80da8df0b027e22ddb4c0a4af405ed74d

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