Artificial Intelligence • Interactive Module

Module 11: Retrieval-Augmented Generation (RAG) Engineering

Master enterprise RAG engineering: multi-format document ingestion, token-aware chunking, dense/sparse hybrid search with Reciprocal Rank Fusion, Cross-Encoder reranking, token budgeting, advanced agentic RAG, and Ragas evaluation.

Concept Overview & Direct Technical Answer

Direct Definition: Master enterprise RAG engineering: multi-format document ingestion, token-aware chunking, dense/sparse hybrid search with Reciprocal Rank Fusion, Cross-Encoder reranking, token budgeting, advanced agentic RAG, and Ragas evaluation.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/ai/rag-architecture. Free, open curriculum for software engineers, systems practitioners, and interview candidates.