AI Use Cases for Production Systems
Production-ready use case implementations showing how to build complete systems with Beluga AI. Each use case includes architecture diagrams, full implementation code with correct import paths, and deployment considerations. The examples demonstrate Beluga AI’s key architectural patterns — ReAct agents, handoffs-as-tools, MemGPT 3-tier memory, hybrid search with RRF fusion, frame-based voice pipelines, and the 3-stage guard pipeline — applied to real business problems.
Use Case Categories
Section titled “Use Case Categories”| Category | Description |
|---|---|
| Search & RAG | Enterprise RAG, semantic search, cross-lingual retrieval, knowledge QA |
| Agents & Automation | Multi-agent support, conversational AI, code review, dynamic tools |
| Voice | Voice IVR, outbound calling, interactive audiobooks, meeting minutes |
| Documents | Invoice processing, document summarization, batch ETL pipelines |
| Analytics & Monitoring | Real-time analysis, A/B testing, cost optimization, dashboards |
| Safety & Compliance | Financial compliance, PII detection, content safety, medical records |
| Infrastructure | Production platforms, workflow orchestration, LLM gateways |
| Messaging | Multi-channel hubs, SMS reminders, support gateways |
Use Case Structure
Section titled “Use Case Structure”Each use case follows a consistent format:
- Problem Statement — The business challenge being solved
- Solution Architecture — How Beluga AI components fit together
- Implementation — Complete, working code
- Deployment — Production configuration and scaling considerations