databricks-vectorsearch (deprecated — please install `databricks-ai-search`)

This package is deprecated. The product previously known as Databricks Vector Search has been renamed to Databricks AI Search, and the canonical Python SDK is now published as databricks-ai-search.

pip install databricks-ai-search

databricks-vectorsearch is preserved as a thin re-export shim that transparently forwards to databricks-ai-search and emits a DeprecationWarning on import. Existing imports under databricks.vector_search.* continue to work indefinitely; new code should migrate to databricks.ai_search.*:

# Before:
from databricks.vector_search.client import VectorSearchClient

# After:
from databricks.ai_search.client import AISearchClient

# Both still work — VectorSearchClient is preserved as a backward-compat
# alias of AISearchClient (same class, isinstance checks pass either way).

DB license

This library (the "Software") may not be used except in connection with the Licensee's use of the Databricks Platform Services pursuant to an Agreement (defined below) between Licensee (defined below) and Databricks, Inc. ("Databricks"). This Software shall be deemed part of the Downloadable Services under the Agreement, or if the Agreement does not define Downloadable Services, Subscription Services, or if neither are defined then the term in such Agreement that refers to the applicable Databricks Platform Services (as defined below) shall be substituted herein for "Downloadable Services". Licensee's use of the Software must comply at all times with any restrictions applicable to the Downlodable Services and Subscription Services, generally, and must be used in accordance with any applicable documentation.

Additionally, and notwithstanding anything in the Agreement to the contrary:

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

If you have not agreed to an Agreement or otherwise do not agree to these terms, you may not use the Software.

This license terminates automatically upon the termination of the Agreement or Licensee's breach of these terms.

Agreement: the agreement between Databricks and Licensee governing the use of the Databricks Platform Services, which shall be, with respect to Databricks, the Databricks Terms of Service located at www.databricks.com/termsofservice, and with respect to Databricks Community Edition, the Community Edition Terms of Service located at www.databricks.com/ce-termsofuse, in each case unless Licensee has entered into a separate written agreement with Databricks governing the use of the applicable Databricks Platform Services.

Databricks Platform Services: the Databricks services or the Databricks Community Edition services, according to where the Software is used.

Licensee: the user of the Software, or, if the Software is being used on behalf of a company, the company.

Release files for databricks-vectorsearch 0.75

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for databricks-vectorsearch 0.75
File	Interpreter	ABI	Platform	Reset
databricks_vectorsearch-0.75-py3-none-any.whl 10.9 kB Jun 10, 2026	Python 3	none	any	Details

Release files / databricks_vectorsearch-0.75-py3-none-any.whl

Download URL	databricks_vectorsearch-0.75-py3-none-any.whl
Size	10.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`a7f89f600f11a981feec6ab4ce221c97e7b89b4a820487f5b439f3390854708b`
BLAKE2b-256 checksum How to use checksums	`3f8b735e83ad2df5df9655b37247671a6b7a4b5ccddb64e32c8555d8c19ec400`
Upload date	Jun 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.9.6`