concept#Artificial Intelligence#Data#Architecture#Software Engineering

Retrieval-Augmented Generation (RAG)

Concept combining information retrieval with generative language models to provide more factual and up-to-date responses.

Retrieval-Augmented Generation (RAG) combines external information retrieval with large language models to produce more factual and up-to-date responses.

Maturity

Emerging

Cognitive loadMedium

360° overview

Retrieval-Augmented Generation (RAG)

Six perspectives place the building block in context. The numbers show where each perspective continues in the reading path.

The building block at a glance

Retrieval-Augmented Generation (RAG)

360°

Classification

2

Complexity: Medium
Impact area: Technical

Technical context

2

Integrations

Vector databases (e.g., FAISS, Milvus, Pinecone)

+2

Principles & goals

1

Separation of retrieval and generation

Value stream stage: Build

Use cases & scenarios

4

Use cases: 3
Scenarios: 3

Compromises

3

Risks: 3
Best practices: 3

I/O & resources

4

Inputs: 3
Outputs: 3