Develop
Developer entry points for AI, document AI, pipelines, and application delivery on BullSequana AI.
Development focuses on four practical tracks:
- consuming BullSequana AI models through the stable BSQAI API
- building document AI and retrieval flows
- creating and operating data or ML pipelines
- deploying applications on top of the platform
This section is meant for developers, solution teams, and platform teams building on top of BullSequana AI.
Recommended Background
Helpful experience for this section includes:
- general software engineering and API integration
- Docker and local development environments
- bearer-token or API-key based authentication
- Kubernetes basics
- Helm packaging
- GitOps concepts when deploying through
Argo CD
The more detailed pages in this section add more specific guidance where needed.