Glossary › Architecture

RAG (Retrieval-Augmented Generation)

Architecture that retrieves relevant documents from an external store and includes them as context for LLM generation. Provides fresh knowledge, citations, and reduces hallucination without fine-tuning.

Where this is taught

• RAG Fundamentals for Automation — Phase 4: RAG Pipelines in Workflows
• RAG, Guardrails, and Cost Optimization in Voice Agents — Phase 4: LLM Orchestration for Voice
• RAG Access Control: Document-Level Permissions in Retrieval Systems — Phase 6: RAG Systems & Knowledge Grounding
• RAG, Fine-Tuning & Agents — When to Use Which — Phase 1: AI & ML Literacy for PMs
• Capstone Project: Enterprise RAG + Agent Deployment — Phase 10: Capstone Deployment Project
• Connecting RAG to Production Workflows — Phase 4: RAG Pipelines in Workflows

Related terms

Vector Store · Chunking · Reranking

More in Architecture

Attention Mechanism · Transformer · Encoder-Decoder · Mixture of Experts (MoE) · KV Cache

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