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Hi! I'm your Kestra AI assistant.Ask me anything about workflows.
EXAMPLE QUESTIONS
Call a REST API in a Dockerized Python task, write the response to JSON, and load it into a MongoDB collection with Kestra in one declarative flow.
Run parallel Airbyte syncs, then transform raw data with dbt Core, all in one orchestrated ELT pipeline.
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.
Trigger multiple Airbyte connection syncs in parallel from a single Kestra flow to cut total ingestion time.
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.
Use blueprints to kickstart your first workflows.