try other mermaid styles
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@ -75,6 +75,70 @@ flowchart LR
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end
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```
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```mermaid
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architecture-beta
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group ext(cloud)[External connectors]
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service drive1(disk)[Google Drive] in ext
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service drive2(disk)[OneDrive] in ext
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service drive3(disk)[SharePoint] in ext
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service drive4(disk)[Other] in ext
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group local(server)[Local services]
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service docling(database)[Docling Serve] in local
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group containers(server)[OpenRAG containers]
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service backend(database)[OpenRAG backend] in containers
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service langflow(database)[Langflow] in containers
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service opensearch(database)[OpenSearch] in containers
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service frontend(database)[OpenRAG frontend] in containers
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junction junctionCenter
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junction junctionRight
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backend:R -- L:junctionCenter
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frontend:T -- B:junctionCenter
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junctionCenter:R -- L:junctionRight
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langflow:B -- T:junctionRight
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opensearch:T -- B:junctionRight
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docling{group}:R -- L:backend{group}
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drive1{group}:B -- T:backend{group}
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```
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```mermaid
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mindmap
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root((OpenRAG backend container))
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Langflow
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OpenSearch
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OpenRAG frontend
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Local services
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Docling Serve
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External connectors
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Google Drive
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OneDrive
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SharePoint
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Others
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```
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```mermaid
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flowchart TD
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subgraph Containers
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backend[OpenRAG Backend] --> langflow[Langflow]
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langflow <--> opensearch[OpenSearch]
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backend <--> frontend[OpenRAG frontend]
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end
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subgraph local [Local services]
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docling[Docling Serve]
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end
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subgraph ext [External connectors]
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drive1[Google Drive]
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drive2[OneDrive]
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drive3[SharePoint]
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drive4[Others]
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end
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local --> backend
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ext --> backend
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```
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The **OpenRAG Backend** is the central orchestration service that coordinates all other components.
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**Langflow** provides a visual workflow engine for building AI agents, and connects to **OpenSearch** for vector storage and retrieval.
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