databricks-vectorsearch
Databricks Vector Search Client
Decision gist · record as of 2026-08-14
No, unless you are maintaining existing code that has not yet migrated to databricks-ai-search. This is a deprecated shim; new projects should install databricks-ai-search directly. The custom Databricks license restricts use to Databricks Platform Services contexts, which may limit applicability outside that ecosystem.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.7; this is a deprecated package—new code should migrate to databricks-ai-search.
- Low install friction with a pure-Python wheel.
- Marked active with a recent release (65 days ago), though this is a deprecated package maintained primarily as a compatibility shim.
License · maintenance · safety
(unclear) — License treatment is unclear in the fact sheet. The package carries a custom Databricks license requiring use only in connection with Databricks Platform Services and an Agreement with Databricks; it is not a standard open-source license. Review the full license terms before use.
last release 2026-06-10 (65 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,616,164 downloads/mo, #2,557 on PyPI
Alternatives
Verify before relying
pip install databricks-vectorsearch
from databricks.vector_search.client import VectorSearchClient
# Emits DeprecationWarning on import- Whether the backward-compatibility aliases (e.g., VectorSearchClient as AISearchClient) are guaranteed indefinitely or will be removed in a future version.
- Whether the custom Databricks license permits use outside a Databricks Platform Services context or Community Edition.
- What specific use cases within Databricks Platform Services this package is intended to support.
What it is and what it does
databricks-vectorsearch is a deprecated compatibility shim that re-exports databricks-ai-search. The product formerly known as Databricks Vector Search has been renamed to Databricks AI Search, and the canonical SDK is now published under the new name. This package exists solely to preserve backward compatibility: existing code that imports from databricks.vector_search.* will continue to work, with VectorSearchClient available as an alias for AISearchClient. On import, it emits a DeprecationWarning to signal that new code should migrate to the renamed package.
The package depends on mlflow-skinny, protobuf, requests, deprecation, httpx, and databricks-ai-search. It carries a custom Databricks license that restricts use to connection with Databricks Platform Services under an Agreement. For new projects, installing databricks-ai-search directly is the recommended path; this package is useful only for maintaining existing codebases that have not yet migrated their imports.
Use it for
- Maintaining legacy code that imports from databricks.vector_search.* without immediate refactoring to the new databricks.ai_search.* namespace.
- Gradual migration of a large codebase where both old and new import paths need to coexist during a transition period.
- Ensuring existing Vector Search client code continues to run while the underlying product is rebranded.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, unless you are maintaining existing code that has not yet migrated to databricks-ai-search.
This is a deprecated shim; new projects should install databricks-ai-search directly. The custom Databricks license restricts use to Databricks Platform Services contexts, which may limit applicability outside that ecosystem.
Install
databricks-vectorsearch on PyPI
Before you install
Low install friction with a pure-Python wheel. Marked active with a recent release (65 days ago), though this is a deprecated package maintained primarily as a compatibility shim.
Requires Python >=3.7; this is a deprecated package—new code should migrate to databricks-ai-search.
License in practice
License treatment is unclear in the fact sheet. The package carries a custom Databricks license requiring use only in connection with Databricks Platform Services and an Agreement with Databricks; it is not a standard open-source license. Review the full license terms before use.
Quickstart
pip install databricks-vectorsearch
from databricks.vector_search.client import VectorSearchClient
# Emits DeprecationWarning on importVerify before relying
- Whether the backward-compatibility aliases (e.g., VectorSearchClient as AISearchClient) are guaranteed indefinitely or will be removed in a future version.
- Whether the custom Databricks license permits use outside a Databricks Platform Services context or Community Edition.
- What specific use cases within Databricks Platform Services this package is intended to support.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesmlflow-skinnyprotobufrequestsdeprecationhttpxdatabricks-ai-search |
| Maintenance | Actively maintained 65 days since the last release |
| First released | |
| Downloads | 3,616,164 / month, #2,557 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: databricks_vectorsearch-0.75-py3-none-any.whl
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See also databricks-ai-search · databricks-feature-store · langchain-databricks · databricks-agents · databricks-langchain · databricks-ai-bridge · databricks-openai · databricks-feature-engineering · databricks-labs-remorph · databricks-dlt