AI Agent AI-Powered RFI Resolution Active

RAG Searcher Agent

Uses Pinecone vector database with text-embedding-3-small for semantic search. Performs cosine similarity matching against project specifications, drawings, and historical RFI database.

View Core Logic Back to Worker

Parent Worker AI-Powered RFI Resolution

Agent ID rag-searcher

Portal Nexgile-SiteGenius Command

Sector Government, Healthcare, and Education Infrastructure

Status Operational

Problem Statement

The challenge addressed

Finding relevant specifications, drawings, and historical RFI resolutions across thousands of project documents is a manual needle-in-haystack exercise.

Core Logic

How the agent solves it

Uses Pinecone vector database with text-embedding-3-small for semantic search. Performs cosine similarity matching against project specifications, drawings, and historical RFI database. Returns ranked... Uses Pinecone vector database with text-embedding-3-small for semantic search. Performs cosine similarity matching against project specifications, drawings, and historical RFI database. Returns ranked results with relevance scores, excerpts, and page references. Identifies similar past RFIs with their resolutions for precedent-based answering.

System Navigation

Explore related components

Portal

Nexgile-SiteGenius Command

Digital Worker

AI-Powered RFI Resolution

Current Agent

RAG Searcher Agent

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