An official Apache Airflow provider that integrates Qdrant vector database as an Airflow hook and operator. Version 1.5.5 supports Airflow >=2.10.0 and Qdrant client >=1.13.0, enabling document ingestion, vector search, and collection management in Airflow DAGs. Maintained by the Apache Airflow community, released on PyPI monthly.
pip install apache-airflow-providers-qdrantNo compatibility data collected yet for this library.
Verified import paths — ran on the pinned version, not inferred.
Creates a QdrantHook and uses QdrantIngestOperator to ingest documents into a collection.
Replace 'QdrantHookOperator' with 'QdrantIngestOperator' in imports and code.
Always set a connection ID (e.g., 'qdrant_default') in your Airflow connections, and avoid relying on default values outside of testing.
Create an Airflow connection of type 'qdrant' with host, port, and API key, then pass the conn_id to the hook.
Run 'pip install apache-airflow-providers-qdrant' and restart your Airflow webserver/scheduler.
Upgrade to latest provider: 'pip install --upgrade apache-airflow-providers-qdrant' and verify the import path: 'from airflow.providers.qdrant.hooks.qdrant import QdrantHook'.