# Introduction (/docs)



Description [#description]

BullSequana AI is a software stack built with cloud-agnostic and open-source principles to help companies and institutions retain full control of their data, AI, and use case workflows.

BSQAI is composed of Runtime, CoreAI, and ProAI.

This documentation is organized around our offerings: Runtime, CoreAI, and ProAI.

It is available as a documentation site on every product deployment under the `docs.` subdomain and at <a href="https://docs.bullsequana.ai">docs.bullsequana.ai</a>.

Product Areas [#product-areas]

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  <a href="/docs/runtime" className="group relative overflow-hidden rounded-2xl border border-fd-border bg-white/95 p-5 shadow-sm transition duration-300 hover:-translate-y-0.5 hover:shadow-md dark:bg-zinc-900/95 dark:border-zinc-700">
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      Runtime
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      The baseline stack for your data and AI operations.
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  </a>

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      CoreAI
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      Model serving, runtime operations, and platform modules.
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  </a>

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      ProAI
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      Data and MLOps-oriented capabilities for advanced use cases.
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  </a>
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Documentation Areas [#documentation-areas]

* **Getting Started**: product introduction, onboarding, and high-level orientation to the BullSequana AI platform.
* **Deployment**: guidance for deploying BullSequana AI across environments, including install, upgrade, and release coordination.
* **Development**: expand BullSequana AI through custom integrations, extensible workflows, and implementation-driven practices.
* **Troubleshooting**: operational remediation guides for incidents, recurring issues, and practical diagnostics.
* **API Reference**: interfaces, endpoint catalogs, and integration contracts for platform services.

Audience [#audience]

* Services end users and operators
* API and platform developers
* DevOps and infrastructure operators
* Use-case and product teams
* Executives evaluating adoption and rollout

Documentation Purpose [#documentation-purpose]

* This documentation helps teams adopt, operate, and extend BullSequana AI.
* Clear product-first navigation
* Role-oriented usage paths
* Operational workflows for deployment and troubleshooting
* Rapid updates tied to feature and deployment lifecycle

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      Deployment
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      Provision, install, upgrade, and configure BullSequana AI at production scale.
    </div>
  </a>

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      Development
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      Integration guidance, implementation patterns, and development best practices.
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  </a>

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      Troubleshooting
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      Diagnostics, known issues, and step-by-step resolution playbooks.
    </div>
  </a>

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      API Reference
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      Interface specifications and integration guidance for platform services.
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  </a>
</div>

Agentic Access [#agentic-access]

This documentation can also be consumed in agent-friendly text form.

At page level, use the `Agentic Friendly` action in the page header. It opens a text/markdown rendering of the current page in a separate tab.

Useful routes:

* site-wide index: `https://<docs-host>/llms.txt`
* current-page LLM text: `https://<docs-host>/llms.mdx/docs/<page-path>/content.md`

Examples:

* `https://docs.bullsequana.ai/llms.txt`
* `https://docs.bullsequana.ai/llms.mdx/docs/coreai/components/coreai-web-portal/content.md`

The agentic page view is useful when you want a cleaner text representation of the current page for assistants, agents, retrieval pipelines, or external tooling.