FlowDiagram
Agentic AI & multi-agent systemsMermaid

Agentic RAG with self-correction template

A retrieval agent that rewrites queries, grades retrieved documents, falls back to web search and checks its answer for hallucinations before responding. This architecture diagram template contains 12 labelled components, branches such as “No”, “Yes”.

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Components in this architecture diagram

  • Question
  • Agent: decompose question
  • Rewrite query
  • Retrieve from vector store
  • Vector database
  • Documents relevant?
  • Web search tool
  • Assemble context
  • LLM generates answer
  • Grounded in context?
  • Answers the question?
  • Answer with citations

How to use this architecture diagram template

  1. Click Open in the editor. The architecture diagram opens on a new page in FlowDiagram — nothing is uploaded and there is no sign-up.
  2. Rename, add or delete shapes and drag them where you want; connectors stay attached as things move.
  3. Drop in vendor logos from the library — 1,160 of them, including every AWS, Azure and Google Cloud service icon — or restyle it with the colour and theme controls.
  4. Prefer text? Edit the Mermaid source below and paste it in through ☰ → Import diagram (see the Mermaid editor); it imports as an editable diagram.
  5. Export to PNG, SVG or PDF, or press Ctrl+L for a link that carries the whole diagram.

Mermaid source

The whole template is the text below. Paste it into FlowDiagram, keep it in Git next to the code it describes, or hand it to an AI assistant to extend.

flowchart TD
  Q((Question)) --> PLAN[Agent: decompose question]
  PLAN --> RW[Rewrite query]
  RW --> RET[Retrieve from vector store]
  RET --> VDB[(Vector database)]
  RET --> GRADE{Documents relevant?}
  GRADE -->|No| WEB[Web search tool]
  WEB --> CTX[Assemble context]
  GRADE -->|Yes| CTX
  CTX --> GEN[LLM generates answer]
  GEN --> HALL{Grounded in context?}
  HALL -->|No| RW
  HALL -->|Yes| USEFUL{Answers the question?}
  USEFUL -->|No| PLAN
  USEFUL -->|Yes| OUT((Answer with citations))

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