At A Glance
A quick overview of what CoreAI includes and what it enables.
CoreAI is the layer of BullSequana AI that turns the Runtime foundation into usable GenAI product capabilities.
What CoreAI Provides
- User-facing entry points for GenAI applications and agents
- Stable backend APIs to orchestrate application logic and AI workflows
- Model lifecycle services for importing, registering, installing, and exposing models
- LLM proxying and MCP integration for governed access to models and tools
- Vector and document services for retrieval, parsing, and knowledge workflows
- LLM observability and telemetry for operating AI features in production
Core Capabilities
- LLM serving and model access for production GenAI workloads
- Model management across registration, versioning, and deployment flows
- RAG enablement through document parsing and vector retrieval services
Who It Serves
| Audience | What CoreAI provides |
|---|---|
| End users | A web portal and APIs for interacting with AI capabilities |
| Product teams | Reusable services for GenAI applications, document workflows, and agents |
| Platform teams | A structured AI application layer built on Runtime services |
| Architects | A clear separation between infrastructure concerns and AI application concerns |
CoreAI In One Sentence
Runtime runs the platform. CoreAI turns that platform into usable GenAI building blocks.
Practical Entry Points
- End users typically work through the CoreAI Web Portal
- Developers should integrate with the CoreAI API as the stable application surface
- Internal CoreAI services can evolve behind that API without forcing client-side rewrites