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Deep Research Agent(DRA)
A composite long-horizon research architecture that clarifies the user's intent, drafts an explicit research plan, then runs an iterative search, read, and evaluate-gaps loop across many sources (often via parallel subagents) before synthesizing a single long-form report with inline citation attribution. This is the assembled archetype behind OpenAI Deep Research, Gemini Deep Research, and Anthropic Research, with its own survey literature. Distinct from `agentic-rag-systems`, which applies retrieval decisioning inside a single pipeline rather than running a multi-round, plan-driven report synthesis. Distinct from `supervisor-worker-pattern`, which is generic orchestration with no research-specific plan, gap-check, or citation pass.
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Deep Research Agent(DRA)
A composite long-horizon research architecture that clarifies the user's intent, drafts an explicit research plan, then runs an iterative search, read, and evaluate-gaps loop across many sources (often via parallel subagents) before synthesizing a single long-form report with inline citation attribution. This is the assembled archetype behind OpenAI Deep Research, Gemini Deep Research, and Anthropic Research, with its own survey literature. Distinct from `agentic-rag-systems`, which applies retrieval decisioning inside a single pipeline rather than running a multi-round, plan-driven report synthesis. Distinct from `supervisor-worker-pattern`, which is generic orchestration with no research-specific plan, gap-check, or citation pass.
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