AI Agent Multi-Agent Communication Orchestrator Example

Knowledge Retriever Agent (RAG)

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation.

View Core Logic Back to Worker

Parent Worker Multi-Agent Communication Orchestrator

Agent ID

rag-001

Portal Nexgile-CorpBuildIQ Nexus

Sector Social Housing Construction & Renovation

Status

Illustrative

Problem Statement

The challenge addressed

Generating accurate, compliant communications requires access to approved templates, Danish housing regulations, historical best practices, and current project documentation—information scattered acro...

Core Logic

How the agent solves it

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Performs semantic search across 4 knowledge bases (1,406 total documents... Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Performs semantic search across 4 knowledge bases (1,406 total documents): Communication Templates (47 docs), Danish Housing Regulations (23 docs), Historical Communications (1,247 docs), and Project Documentation (89 docs). Retrieves top 5 chunks with relevance scores >0.85, returning results in 234ms with source citations for transparency.

System Navigation

Explore related components

Portal

Nexgile-CorpBuildIQ Nexus

Digital Worker

Multi-Agent Communication Orchestrator

Current Agent

Knowledge Retriever Agent (RAG)

Here

Knowledge Retriever Agent (RAG)

Problem Statement

Core Logic

System Navigation

Portal

Digital Worker

Current Agent

Global Headquarters

Global Capability Center