RAG Implementer

Build production-ready retrieval-augmented generation systems.

Core Principle

RAG = Retrieval + Context Assembly + Generation

Use RAG when you need LLMs to access fresh, domain-specific, or proprietary knowledge that wasn't in their training data.

⚠️ Prerequisites & Cost Reality Check

STOP: Have You Validated the Need for RAG?

Before implementing RAG, confirm: