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NERO

Neural Entity Relationship Orchestrator • v1.3.0

Real-Time Knowledge Graph Infrastructure

NERO is the neural entity relationship orchestrator. It maintains live knowledge graphs, manages entity resolution, and provides semantic query capabilities across the ALIAS ecosystem.

Architecture

The layers below describe how NERO is structured inside the wider ALIAS stack.

Layer 1

Ingestion

Multi-source data ingestion pipelines

Layer 2

Resolution

Entity resolution and deduplication

Layer 3

Graph

Property graph storage and traversal

Layer 4

Query

GraphQL and natural language interfaces

What this layer does

The features below describe the job this system is meant to do inside a governed operating model.

Live Graph

Real-time updates as entities change

Entity Resolution

ML-powered deduplication and merging

Semantic Search

Natural language to graph queries

Vector Hybrid

Combine vector similarity with graph structure

Signals

These numbers and markers help describe the shape of NEROinside the ALIAS system rather than pretending to be standalone sales proof.

50000
entities
120000
relationships
<50ms
query Latency
12
sources

Integrations

Systems do not matter in isolation. These are some of the adjacent services and surfaces NERO is designed to work with.

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Need this layer in your stack?

Talk to ALIAS about where NERO fits in the workflow, what it should own, and how it should connect to the rest of the operating model.

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