Nexus AI
Production-grade AI operating infrastructure. Memory-aware, retrieval-augmented, multi-agent orchestration with full observability built in from day one.
Platform Capabilities
Phase 1 foundation — built to grow from scaffold to full production system
Orchestrator Engine
Staged pipeline: intake → memory → retrieval → triage → response → escalation → event log. Every request flows through a structured, observable pipeline.
Memory Layer
Short-term conversation history, session summaries, and long-term user memory. Context persists across turns and sessions.
RAG Retrieval
Document ingestion, semantic chunking, vector embeddings, and Qdrant-powered search. Ground responses in your knowledge base.
Multi-Agent Layer
Support, Research, Summarizer, Planner, and Escalation agents. The triage stage routes each request to the most appropriate specialist.
Observability
Correlation IDs on every request, structured JSON logging, event store, and metrics-ready architecture. Trace any request end-to-end.
Production Architecture
Modular monolith with clear service boundaries. Async-first FastAPI, Pydantic settings, clean dependency injection, and phase-based roadmap.