📄️ Kafka
Kafka — Kafka is the stream backbone for telemetry enrichment.
📄️ MQTT
MQTT — MQTT is the device-facing transport (Mosquitto) and part of the ThingsBoard bridge.
📄️ PostgreSQL
PostgreSQL — This repo uses a Central PostgreSQL instance as the canonical relational datastore for multiple services.
📄️ Redis
Redis — Redis is used for sessions, cache, and cross-service ephemeral state.
📄️ Qdrant
Qdrant — Qdrant is the vector store used by AI/RAG components.
📄️ Zitadel
Zitadel — Zitadel is the identity provider (OIDC) and the foundation for SSO and role-based access.
📄️ ThingsBoard
ThingsBoard — ThingsBoard is the central IoT management platform (devices, dashboards, rule engine, RPC).
📄️ RAG (Retrieval-Augmented Generation)
RAG (Retrieval-Augmented Generation) — RAGs provide a configurable "document memory" for the AI. In this ecosystem they are managed from the Portal Admin UI.
📄️ MCP (Model Context Protocol)
MCP (Model Context Protocol) — MCP services allow the AI layer to call external tools and systems. In this repo, MCPs can be executed in different modes depending on isolation and operatio…
📄️ LLM Models
LLM Models — The ecosystem can connect to multiple LLM providers (cloud or local). Model configuration is managed from the Portal Admin UI.