AI Architecture
Imported content for AI Architecture.
AI Architecture
bondingAI AIOS AI architecture is built to turn enterprise context into reliable decisions through modular agents, governed retrieval, and pluggable model providers.
AI Capability
Agent Execution Paths
| Path | Primary Use Case | Typical Components |
|---|---|---|
| Standard RAG | Grounded answers from enterprise documents | Prompt loading, hybrid retrieval, model generation, streaming response |
| Personal Agent | User-centric assistance with lightweight search | Chat history, personalized context, web/tool augmentation |
| xLLM Response Generator | Domain-specific enterprise reasoning | xLLM search tools, business API integrations, domain prompts |
| Custom Ollama RAG | Private/local model strategy | Query rewrite, private model runtime, controlled retrieval |
Decision Flow for Runtime Agent Selection
Business and Risk Controls in the AI Layer
- Domain-scoped prompts and retrieval prevent cross-domain leakage.
- Model abstraction allows provider changes without redesigning business flows.
- Tool gating limits what actions an agent can trigger.
- Telemetry and cost traces support performance and governance decisions at scale.
For platform-wide policy controls and monitoring standards, see AI Governance and Security.