{"library":"databricks-vectorsearch","type":"library","category":null,"description":"The `databricks-vectorsearch` Python client library provides programmatic access to Databricks Vector Search, a serverless similarity search engine. It enables users to manage vector search endpoints and indexes, facilitating the creation of Retrieval Augmented Generation (RAG) applications. The library integrates seamlessly with the Databricks Data Intelligence Platform and Unity Catalog for data governance. Currently at version 0.67, it is actively developed with regular updates.","language":"python","status":"active","version":"0.67","tags":["Databricks","Vector Search","AI","ML","RAG","Database Client","Embeddings"],"last_verified":"Wed May 20","install":[{"cmd":"pip install databricks-vectorsearch","imports":["from databricks.vector_search.client import VectorSearchClient"]}],"homepage":"https://docs.databricks.com/en/generative-ai/vector-search.html","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/databricks-vectorsearch/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":10,"avg_import_s":4.2,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/databricks-vectorsearch/compatibility"}}