AI Agent AI Solution Architect Example

RAG Retriever Agent

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

View Core Logic Back to Worker

Parent Worker AI Solution Architect

Agent ID

rag_retriever

Portal Nexgile-TradeNexus

Sector Value-Added Distribution (VAD) & IT Wholesale

Status

Illustrative

Problem Statement

The challenge addressed

Finding optimal products from a catalog of thousands of SKUs requires semantic understanding beyond keyword matching.

Core Logic

How the agent solves it

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Generates query embeddings using text-embedding-3-large (3072 dimensions... Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Generates query embeddings using text-embedding-3-large (3072 dimensions), performs vector similarity search against the product catalog, applies BM25 lexical ranking, reranks results using cross-encoder models, and assembles optimized context windows for downstream agents. Sources include product catalogs, knowledge bases, pricing rules, and compatibility matrices.

System Navigation

Explore related components

Portal

Nexgile-TradeNexus

Digital Worker

AI Solution Architect

Current Agent

RAG Retriever Agent

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RAG Retriever Agent

Problem Statement

Core Logic

System Navigation

Portal

Digital Worker

Current Agent

Global Headquarters

Global Capability Center