rag retrieval

Article mentions integrating RAG as part of context orchestration, positioning it as one component of broader CE framework.

RAG strategies are quintessential context engineering—managing what information enters the system—fitting the era's shift from prompt wording to information architecture

Author mentions 'agentic agents and RAG' as foundational infrastructure, suggesting context engineering includes retrieval strategy

Context curation phase is similar to RAG's retrieval/ranking of relevant information, but applied to agent's own strategy knowledge

Artifacts as shareable context is conceptually similar to RAG—externalizing retrievable context rather than embedding in prompts

Specs stored in versioned repo serve as retrievable context. Pattern similar to RAG but with human-curated, semantically structured documents rather than vector retrieval.

QMD search over 5M-word corpus is a retrieval strategy; less formal than RAG but same principle (large corpus + search).

Framework mentions RAG integrations and 'Chat & embedding models' as part of ecosystem, suggesting it handles retrieval patterns, though specifics on retrieval strategy are absent from this documentat

Article frames orchestration as solution to agent problems; doesn't discuss how retrieval quality affects context available to agents