{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/4"}],"enrichment":{"capability":"Integrates Weaviate vector database operations into Apache Airflow workflows, providing operators and hooks to orchestrate data ingestion, querying, and management tasks.","skillfed_tags":["airflow-provider","vector-database","workflow-orchestration"],"use_cases":["Orchestrate periodic ingestion of document embeddings into Weaviate from external data sources within an Airflow DAG.","Build multi-step pipelines that extract, transform, and load vector data into Weaviate as part of a larger workflow.","Query Weaviate collections on a schedule and feed results into downstream Airflow tasks for further processing.","Manage Weaviate schema and collection lifecycle operations as scheduled Airflow tasks.","Integrate Weaviate operations with other Airflow providers to create end-to-end ML or search infrastructure workflows."],"what_it_does":"This is an Apache Airflow provider package that bridges Airflow's workflow orchestration with Weaviate, a vector database platform. It supplies operators, hooks, and connection types that allow you to define Weaviate tasks within Airflow DAGs\u2014such as ingesting data, querying vectors, or managing collections. The package depends on apache-airflow (>=2.11.0), weaviate-client (>=4.16.0, excluding 4.16.7), httpx, pandas, and apache-airflow-providers-common-compat, and runs on Python 3.10 through 3.14.\n\nYou install it on top of an existing Airflow setup and use it to compose Weaviate operations into larger data pipelines. It is actively maintained by the Apache Airflow project, with a recent release and no known security vulnerabilities. The permissive Apache-2.0 license places no restrictions on commercial use.","worth_installing":"Yes. This is a production-stable Apache-backed provider with low install friction, active maintenance, no security vulnerabilities, and a permissive license. Install it if you are already running Airflow and need to orchestrate Weaviate tasks; skip it if you do not use Airflow or do not need vector database integration."},"id":"apache-airflow-providers-weaviate","links":{"html":"https://skillfed.io/packages/apache-airflow-providers-weaviate","md":"https://skillfed.io/packages/apache-airflow-providers-weaviate.md","pypi":"https://pypi.org/project/apache-airflow-providers-weaviate/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-08","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"apache-airflow-providers-weaviate","python_support":"supports_current","summary":"Provider package apache-airflow-providers-weaviate for Apache Airflow"},"popularity":{"monthly_downloads":287798,"position":8025,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.4.1"}