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Hi! I'm your Kestra AI assistant.Ask me anything about workflows.
EXAMPLE QUESTIONS
Orchestrate a multi-step pandas ETL in Python on Kestra. Use WorkingDirectory to share CSVs between Docker-isolated script tasks and capture outputs.
Trigger an Airbyte Cloud connection sync on a recurring schedule so your data lands fresh without manual runs.
Run Airbyte Cloud syncs in parallel, then trigger a dbt Cloud transformation job once the data lands.
Turn plain-English questions into PostgreSQL queries with OpenAI GPT-4o, grounded on schema only so no row data ever leaves your database.
Turn any PDF, web page, or text document into structured JSON with OpenAI GPT-4o, then store the results in PostgreSQL and Slack.
Incrementally push freshly updated Postgres rows into an Algolia search index every five minutes.
Run parallel Airbyte syncs, then transform raw data with dbt Core, all in one orchestrated ELT pipeline.
Use blueprints to kickstart your first workflows.