{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database"}],"enrichment":{"capability":"A deprecated re-export shim that forwards to databricks-ai-search and emits a deprecation warning; existing code using databricks.vector_search.* imports continues to work with backward-compatible aliases.","skillfed_tags":["deprecated","backward-compat","databricks"],"use_cases":["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."],"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.\n\nThe 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.","worth_installing":"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."},"id":"databricks-vectorsearch","links":{"html":"https://skillfed.io/packages/databricks-vectorsearch","md":"https://skillfed.io/packages/databricks-vectorsearch.md","pypi":"https://pypi.org/project/databricks-vectorsearch/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-10","license_spdx":null,"license_treatment":"unclear","name":"databricks-vectorsearch","python_support":"supports_current","summary":"Databricks Vector Search Client"},"popularity":{"monthly_downloads":3616164,"position":2557,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.75"}