Apache Airflow provider for AI-Lake Format — hook, operators, and snapshot sensor
Project description
apache-airflow-providers-ailake
Apache Airflow provider for AI-Lake Format — an Iceberg-compatible file format that unifies tabular data, embeddings, and HNSW vector indexes in a single Parquet file.
Installation
pip install apache-airflow-providers-ailake
Components
Hook
AilakeHook — connects to an AI-Lake table on object storage (S3/GCS/Azure).
from airflow_providers_ailake.hooks.ailake import AilakeHook
hook = AilakeHook(conn_id="ailake_default")
Operators
AilakeWriteOperator — writes a batch of rows (with embeddings) to an AI-Lake table.
AilakeSearchOperator — runs a vector similarity search and pushes results to XCom.
Sensor
AilakeSnapshotSensor — waits until a new Iceberg snapshot appears on the table (useful for triggering downstream DAGs after a write).
Requirements
- Apache Airflow >= 2.6
- Python >= 3.9
- AI-Lake SDK (
ailakePython package) installed in the Airflow worker environment
Links
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