From 67b3d152db23a39f077560c307fbfa6dcb72cb34 Mon Sep 17 00:00:00 2001
From: April M <36110273+aimurphy@users.noreply.github.com>
Date: Fri, 21 Nov 2025 07:54:39 -0800
Subject: [PATCH 01/10] try to fix mermaid diagram reflow

---
 docs/docs/get-started/what-is-openrag.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/docs/get-started/what-is-openrag.mdx b/docs/docs/get-started/what-is-openrag.mdx
index ee227db9..b0a44758 100644
--- a/docs/docs/get-started/what-is-openrag.mdx
+++ b/docs/docs/get-started/what-is-openrag.mdx
@@ -24,7 +24,7 @@ Ready to get started? [Install OpenRAG](/install) and then run the [Quickstart](
 OpenRAG deploys and orchestrates a lightweight, container-based architecture that combines **Langflow**, **OpenSearch**, and **Docling** into a cohesive RAG platform.
 
 ```mermaid
-%%{init: {'theme': 'dark', 'flowchart': {'useMaxWidth': false, 'width': '100%'}}}%%
+%%{init: {'theme': 'dark', 'flowchart': {'useMaxWidth': true, 'width': '100%'}}}%%
 flowchart LR
     %% Encapsulate the entire diagram in a rectangle with black background
     subgraph DiagramContainer["OpenRAG Architecture"]

From 63bb1995a58e2c599269e7efecb3d31f4469aeb9 Mon Sep 17 00:00:00 2001
From: April M <36110273+aimurphy@users.noreply.github.com>
Date: Fri, 21 Nov 2025 09:31:58 -0800
Subject: [PATCH 02/10] try other mermaid styles

---
 docs/docs/get-started/what-is-openrag.mdx | 64 +++++++++++++++++++++++
 1 file changed, 64 insertions(+)

diff --git a/docs/docs/get-started/what-is-openrag.mdx b/docs/docs/get-started/what-is-openrag.mdx
index b0a44758..dff82461 100644
--- a/docs/docs/get-started/what-is-openrag.mdx
+++ b/docs/docs/get-started/what-is-openrag.mdx
@@ -75,6 +75,70 @@ flowchart LR
     end
 ```
 
+```mermaid
+architecture-beta
+    group ext(cloud)[External connectors]
+    service drive1(disk)[Google Drive] in ext
+    service drive2(disk)[OneDrive] in ext
+    service drive3(disk)[SharePoint] in ext
+    service drive4(disk)[Other] in ext
+
+    group local(server)[Local services]
+    service docling(database)[Docling Serve] in local
+
+    group containers(server)[OpenRAG containers]
+    service backend(database)[OpenRAG backend] in containers
+    service langflow(database)[Langflow] in containers
+    service opensearch(database)[OpenSearch] in containers
+    service frontend(database)[OpenRAG frontend] in containers
+    junction junctionCenter
+    junction junctionRight
+
+    backend:R -- L:junctionCenter
+    frontend:T -- B:junctionCenter
+    junctionCenter:R -- L:junctionRight
+    langflow:B -- T:junctionRight
+    opensearch:T -- B:junctionRight
+
+    docling{group}:R -- L:backend{group}
+    drive1{group}:B -- T:backend{group}
+```
+
+```mermaid
+mindmap
+  root((OpenRAG backend container))
+    Langflow
+      OpenSearch
+    OpenRAG frontend
+    Local services
+      Docling Serve
+    External connectors
+      Google Drive
+      OneDrive
+      SharePoint
+      Others
+```
+
+```mermaid
+flowchart TD
+    subgraph Containers
+    backend[OpenRAG Backend] --> langflow[Langflow]
+    langflow <--> opensearch[OpenSearch]
+    backend <--> frontend[OpenRAG frontend]
+    end
+    subgraph local [Local services]
+    docling[Docling Serve]
+    end
+    subgraph ext [External connectors]
+    drive1[Google Drive]
+    drive2[OneDrive]
+    drive3[SharePoint]
+    drive4[Others]
+    end
+    local --> backend
+    ext --> backend
+```
+
 The **OpenRAG Backend** is the central orchestration service that coordinates all other components.
 
 **Langflow** provides a visual workflow engine for building AI agents, and connects to **OpenSearch** for vector storage and retrieval.

From f3f07cb5fd14aeebda55da7fc516a5ba81355d70 Mon Sep 17 00:00:00 2001
From: April M <36110273+aimurphy@users.noreply.github.com>
Date: Fri, 21 Nov 2025 09:35:38 -0800
Subject: [PATCH 03/10] remove bad one and try style

---
 docs/docs/get-started/what-is-openrag.mdx | 16 +---------------
 1 file changed, 1 insertion(+), 15 deletions(-)

diff --git a/docs/docs/get-started/what-is-openrag.mdx b/docs/docs/get-started/what-is-openrag.mdx
index dff82461..3b8b436d 100644
--- a/docs/docs/get-started/what-is-openrag.mdx
+++ b/docs/docs/get-started/what-is-openrag.mdx
@@ -76,6 +76,7 @@ flowchart LR
 ```
 
 ```mermaid
+%%{init: {'theme': 'dark', 'flowchart': {'useMaxWidth': true, 'width': '100%'}}}%%
 architecture-beta
     group ext(cloud)[External connectors]
     service drive1(disk)[Google Drive] in ext
@@ -104,21 +105,6 @@ architecture-beta
     drive1{group}:B -- T:backend{group}
 ```
 
-```mermaid
-mindmap
-  root((OpenRAG backend container))
-    Langflow
-      OpenSearch
-    OpenRAG frontend
-    Local services
-      Docling Serve
-    External connectors
-      Google Drive
-      OneDrive
-      SharePoint
-      Others
-```
-
 ```mermaid
 flowchart TD
     subgraph Containers

From d8d4d8c47cd9da0aa16e76c713bacb7041528434 Mon Sep 17 00:00:00 2001
From: April M <36110273+aimurphy@users.noreply.github.com>
Date: Fri, 21 Nov 2025 09:47:08 -0800
Subject: [PATCH 04/10] keep only flowchart

---
 docs/docs/get-started/what-is-openrag.mdx | 30 -----------------------
 1 file changed, 30 deletions(-)

diff --git a/docs/docs/get-started/what-is-openrag.mdx b/docs/docs/get-started/what-is-openrag.mdx
index 3b8b436d..71c8448c 100644
--- a/docs/docs/get-started/what-is-openrag.mdx
+++ b/docs/docs/get-started/what-is-openrag.mdx
@@ -75,36 +75,6 @@ flowchart LR
     end
 ```
 
-```mermaid
-%%{init: {'theme': 'dark', 'flowchart': {'useMaxWidth': true, 'width': '100%'}}}%%
-architecture-beta
-    group ext(cloud)[External connectors]
-    service drive1(disk)[Google Drive] in ext
-    service drive2(disk)[OneDrive] in ext
-    service drive3(disk)[SharePoint] in ext
-    service drive4(disk)[Other] in ext
-
-    group local(server)[Local services]
-    service docling(database)[Docling Serve] in local
-
-    group containers(server)[OpenRAG containers]
-    service backend(database)[OpenRAG backend] in containers
-    service langflow(database)[Langflow] in containers
-    service opensearch(database)[OpenSearch] in containers
-    service frontend(database)[OpenRAG frontend] in containers
-    junction junctionCenter
-    junction junctionRight
-
-    backend:R -- L:junctionCenter
-    frontend:T -- B:junctionCenter
-    junctionCenter:R -- L:junctionRight
-    langflow:B -- T:junctionRight
-    opensearch:T -- B:junctionRight
-
-    docling{group}:R -- L:backend{group}
-    drive1{group}:B -- T:backend{group}
-```
-
 ```mermaid
 flowchart TD
     subgraph Containers

From 57d33ab95d7293e27bae5f6155694fdad2f18e0c Mon Sep 17 00:00:00 2001
From: April M <36110273+aimurphy@users.noreply.github.com>
Date: Fri, 21 Nov 2025 10:08:32 -0800
Subject: [PATCH 05/10] idk what im doing lol

---
 docs/docs/get-started/what-is-openrag.mdx | 52 -----------------------
 1 file changed, 52 deletions(-)

diff --git a/docs/docs/get-started/what-is-openrag.mdx b/docs/docs/get-started/what-is-openrag.mdx
index 71c8448c..9e01e602 100644
--- a/docs/docs/get-started/what-is-openrag.mdx
+++ b/docs/docs/get-started/what-is-openrag.mdx
@@ -23,58 +23,6 @@ Ready to get started? [Install OpenRAG](/install) and then run the [Quickstart](
 
 OpenRAG deploys and orchestrates a lightweight, container-based architecture that combines **Langflow**, **OpenSearch**, and **Docling** into a cohesive RAG platform.
 
-```mermaid
-%%{init: {'theme': 'dark', 'flowchart': {'useMaxWidth': true, 'width': '100%'}}}%%
-flowchart LR
-    %% Encapsulate the entire diagram in a rectangle with black background
-    subgraph DiagramContainer["OpenRAG Architecture"]
-        style DiagramContainer fill:#000000,stroke:#ffffff,color:white,stroke-width:2px
-
-        %% Define subgraphs for the different sections
-        subgraph LocalService["Local Service"]
-            DoclingSrv[Docling Serve]
-            style DoclingSrv fill:#a8d1ff,stroke:#0066cc,color:black,stroke-width:2px
-        end
-
-        subgraph Containers
-            Backend["OpenRAG Backend"]
-            style Backend fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px
-            Langflow
-            style Langflow fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px
-            OpenSearch
-            style OpenSearch fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px
-            Frontend["OpenRAG Frontend"]
-            style Frontend fill:#ffcc99,stroke:#ff6600,color:black,stroke-width:2px
-        end
-
-        subgraph ThirdParty["Third Party Services"]
-            GoogleDrive["Google Drive"]
-            style GoogleDrive fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
-            OneDrive
-            style OneDrive fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
-            SharePoint["SharePoint"]
-            style SharePoint fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
-            More[...]
-            style More fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
-        end
-
-        %% Define connections
-        DoclingSrv --> Backend
-        GoogleDrive --> Backend
-        OneDrive --> Backend
-        SharePoint --> Backend
-        More --> Backend
-        Backend --> Langflow
-        Langflow <--> OpenSearch
-        Backend <--> Frontend
-
-        %% Style subgraphs
-        style LocalService fill:#333333,stroke:#666666,color:white,stroke-width:2px
-        style Containers fill:#444444,stroke:#666666,color:white,stroke-width:2px
-        style ThirdParty fill:#333333,stroke:#666666,color:white,stroke-width:2px
-    end
-```
-
 ```mermaid
 flowchart TD
     subgraph Containers

From b306413c87e6557d01863e661fdd13937ee94537 Mon Sep 17 00:00:00 2001
From: April M <36110273+aimurphy@users.noreply.github.com>
Date: Fri, 21 Nov 2025 10:29:49 -0800
Subject: [PATCH 06/10] move performance to docling page

---
 docs/docs/core-components/ingestion.mdx   | 41 ++++++++++++++-
 docs/docs/get-started/what-is-openrag.mdx | 63 +++++------------------
 2 files changed, 54 insertions(+), 50 deletions(-)

diff --git a/docs/docs/core-components/ingestion.mdx b/docs/docs/core-components/ingestion.mdx
index f72e9ab0..08159ee0 100644
--- a/docs/docs/core-components/ingestion.mdx
+++ b/docs/docs/core-components/ingestion.mdx
@@ -78,4 +78,43 @@ If you want to use OpenRAG's built-in pipeline instead of Docling serve, set `DI
 
 The built-in pipeline still uses the Docling processor, but uses it directly without the Docling Serve API.
 
-For more information, see [`processors.py` in the OpenRAG repository](https://github.com/langflow-ai/openrag/blob/main/src/models/processors.py#L58).
\ No newline at end of file
+For more information, see [`processors.py` in the OpenRAG repository](https://github.com/langflow-ai/openrag/blob/main/src/models/processors.py#L58).
+
+## Performance expectations
+
+On a local VM with 7 vCPUs and 8 GiB RAM, OpenRAG ingested approximately 5.03 GB across 1,083 files in about 42 minutes.
+This equates to approximately 2.4 documents per second.
+
+You can generally expect equal or better performance on developer laptops and significantly faster on servers.
+Throughput scales with CPU cores, memory, storage speed, and configuration choices such as embedding model, chunk size and overlap, and concurrency.
+
+This test returned 12 errors (approximately 1.1%).
+All errors were file-specific, and they didn't stop the pipeline.
+
+Ingestion dataset:
+
+* Total files: 1,083 items mounted
+* Total size on disk: 5,026,474,862 bytes (approximately 5.03 GB)
+
+Hardware specifications:
+
+* Machine: Apple M4 Pro
+* Podman VM:
+  * Name: `podman-machine-default`
+  * Type: `applehv`
+  * vCPUs: 7
+  * Memory: 8 GiB
+  * Disk size: 100 GiB
+
+Test results:
+
+```text
+2025-09-24T22:40:45.542190Z /app/src/main.py:231 Ingesting default documents when ready disable_langflow_ingest=False
+2025-09-24T22:40:45.546385Z /app/src/main.py:270 Using Langflow ingestion pipeline for default documents file_count=1082
+...
+2025-09-24T23:19:44.866365Z /app/src/main.py:351 Langflow ingestion completed success_count=1070 error_count=12 total_files=1082
+```
+
+Elapsed time: ~42 minutes 15 seconds (2,535 seconds)
+
+Throughput: ~2.4 documents/second
\ No newline at end of file
diff --git a/docs/docs/get-started/what-is-openrag.mdx b/docs/docs/get-started/what-is-openrag.mdx
index 9e01e602..43d6c037 100644
--- a/docs/docs/get-started/what-is-openrag.mdx
+++ b/docs/docs/get-started/what-is-openrag.mdx
@@ -1,23 +1,26 @@
 ---
 title: What is OpenRAG?
 slug: /
+hide_table_of_contents: true
 ---
 
 OpenRAG is an open-source package for building agentic RAG systems that integrates with a wide range of orchestration tools, vector databases, and LLM providers.
 
 OpenRAG connects and amplifies three popular, proven open-source projects into one powerful platform:
 
-* [Langflow](https://docs.langflow.org): Langflow is a versatile tool for building and deploying AI agents and MCP servers. It supports all major LLMs, vector databases, and a growing library of AI tools. 
+* [Langflow](https://docs.langflow.org): Langflow is a versatile tool for building and deploying AI agents and MCP servers. It supports all major LLMs, vector databases, and a growing library of AI tools.
 
 * [OpenSearch](https://docs.opensearch.org/latest/): OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data.
 
-* [Docling](https://docling-project.github.io/docling/): Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem. 
+* [Docling](https://docling-project.github.io/docling/): Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem.
 
-OpenRAG builds on Langflow's familiar interface while adding OpenSearch for vector storage and Docling for simplified document parsing, with opinionated flows that serve as ready-to-use recipes for ingestion, retrieval, and generation from popular sources like Google Drive, OneDrive, and Sharepoint.
+OpenRAG builds on Langflow's familiar interface while adding OpenSearch for vector storage and Docling for simplified document parsing. It uses opinionated flows that serve as ready-to-use recipes for ingestion, retrieval, and generation from familiar sources like Google Drive, OneDrive, and SharePoint.
 
-What's more, every part of the stack is swappable. Write your own custom components in Python, try different language models, and customize your flows to build an agentic RAG system.
+What's more, every part of the stack is interchangeable: You can write your own custom components in Python, try different language models, and customize your flows to build a personalized agentic RAG system.
 
-Ready to get started? [Install OpenRAG](/install) and then run the [Quickstart](/quickstart) to create a powerful RAG pipeline.
+:::tip
+Ready to get started? Try the [quickstart](/quickstart) to install OpenRAG and start exploring in minutes.
+:::
 
 ## OpenRAG architecture
 
@@ -43,51 +46,13 @@ flowchart TD
     ext --> backend
 ```
 
-The **OpenRAG Backend** is the central orchestration service that coordinates all other components.
+<br/>
+* The **OpenRAG Backend** is the central orchestration service that coordinates all other components.
 
-**Langflow** provides a visual workflow engine for building AI agents, and connects to **OpenSearch** for vector storage and retrieval.
+* **Langflow** provides a visual workflow engine for building AI agents, and connects to **OpenSearch** for vector storage and retrieval.
 
-**Docling Serve** is a local document processing service managed by the **OpenRAG Backend**.
+* **Docling Serve** is a local document processing service managed by the **OpenRAG Backend**.
 
-**Third Party Services** like **Google Drive** connect to the **OpenRAG Backend** through OAuth authentication, allowing synchronication of cloud storage with the OpenSearch knowledge base.
+* **External connectors** integrate third-party cloud storage services through OAuth authenticated connections to the **OpenRAG Backend**, allowing synchronization of external storage with your OpenSearch knowledge base.
 
-The **OpenRAG Frontend** provides the user interface for interacting with the system.
-
-## Performance expectations
-
-On a local VM with 7 vCPUs and 8 GiB RAM, OpenRAG ingested approximately 5.03 GB across 1,083 files in about 42 minutes.
-This equates to approximately 2.4 documents per second.
-
-You can generally expect equal or better performance on developer laptops and significantly faster on servers.
-Throughput scales with CPU cores, memory, storage speed, and configuration choices such as embedding model, chunk size and overlap, and concurrency.
-
-This test returned 12 errors (approximately 1.1%).
-All errors were file‑specific, and they didn't stop the pipeline.
-
-Ingestion dataset:
-
-* Total files: 1,083 items mounted
-* Total size on disk: 5,026,474,862 bytes (approximately 5.03 GB)
-
-Hardware specifications:
-
-* Machine: Apple M4 Pro
-* Podman VM:
-  * Name: `podman-machine-default`
-  * Type: `applehv`
-  * vCPUs: 7
-  * Memory: 8 GiB
-  * Disk size: 100 GiB
-
-Test results:
-
-```text
-2025-09-24T22:40:45.542190Z /app/src/main.py:231 Ingesting default documents when ready disable_langflow_ingest=False
-2025-09-24T22:40:45.546385Z /app/src/main.py:270 Using Langflow ingestion pipeline for default documents file_count=1082
-...
-2025-09-24T23:19:44.866365Z /app/src/main.py:351 Langflow ingestion completed success_count=1070 error_count=12 total_files=1082
-```
-
-Elapsed time: ~42 minutes 15 seconds (2,535 seconds)
-
-Throughput: ~2.4 documents/second
\ No newline at end of file
+* The **OpenRAG Frontend** provides the user interface for interacting with the platform.
\ No newline at end of file

From 70081d5ff8cc8ba580102f88368d52371c951d22 Mon Sep 17 00:00:00 2001
From: April M <36110273+aimurphy@users.noreply.github.com>
Date: Fri, 21 Nov 2025 10:40:59 -0800
Subject: [PATCH 07/10] switch back diagram with minitoc hidden

---
 docs/docs/get-started/what-is-openrag.mdx | 60 ++++++++++++++++-------
 1 file changed, 43 insertions(+), 17 deletions(-)

diff --git a/docs/docs/get-started/what-is-openrag.mdx b/docs/docs/get-started/what-is-openrag.mdx
index 43d6c037..218c21ed 100644
--- a/docs/docs/get-started/what-is-openrag.mdx
+++ b/docs/docs/get-started/what-is-openrag.mdx
@@ -27,26 +27,52 @@ Ready to get started? Try the [quickstart](/quickstart) to install OpenRAG and s
 OpenRAG deploys and orchestrates a lightweight, container-based architecture that combines **Langflow**, **OpenSearch**, and **Docling** into a cohesive RAG platform.
 
 ```mermaid
-flowchart TD
-    subgraph Containers
-    backend[OpenRAG Backend] --> langflow[Langflow]
-    langflow <--> opensearch[OpenSearch]
-    backend <--> frontend[OpenRAG frontend]
+%%{init: {'theme': 'dark', 'flowchart': {'useMaxWidth': false, 'width': '100%'}}}%%
+flowchart LR
+    %% Encapsulate the entire diagram in a rectangle with black background
+    subgraph DiagramContainer["OpenRAG Architecture"]
+        style DiagramContainer fill:#000000,stroke:#ffffff,color:white,stroke-width:2px
+        %% Define subgraphs for the different sections
+        subgraph LocalService["Local Service"]
+            DoclingSrv[Docling Serve]
+            style DoclingSrv fill:#a8d1ff,stroke:#0066cc,color:black,stroke-width:2px
+        end
+        subgraph Containers
+            Backend["OpenRAG Backend"]
+            style Backend fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px
+            Langflow
+            style Langflow fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px
+            OpenSearch
+            style OpenSearch fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px
+            Frontend["OpenRAG Frontend"]
+            style Frontend fill:#ffcc99,stroke:#ff6600,color:black,stroke-width:2px
+        end
+        subgraph ThirdParty["Third Party Services"]
+            GoogleDrive["Google Drive"]
+            style GoogleDrive fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
+            OneDrive
+            style OneDrive fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
+            SharePoint["SharePoint"]
+            style SharePoint fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
+            More[...]
+            style More fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
+        end
+        %% Define connections
+        DoclingSrv --> Backend
+        GoogleDrive --> Backend
+        OneDrive --> Backend
+        SharePoint --> Backend
+        More --> Backend
+        Backend --> Langflow
+        Langflow <--> OpenSearch
+        Backend <--> Frontend
+        %% Style subgraphs
+        style LocalService fill:#333333,stroke:#666666,color:white,stroke-width:2px
+        style Containers fill:#444444,stroke:#666666,color:white,stroke-width:2px
+        style ThirdParty fill:#333333,stroke:#666666,color:white,stroke-width:2px
     end
-    subgraph local [Local services]
-    docling[Docling Serve]
-    end
-    subgraph ext [External connectors]
-    drive1[Google Drive]
-    drive2[OneDrive]
-    drive3[SharePoint]
-    drive4[Others]
-    end
-    local --> backend
-    ext --> backend
 ```
 
-<br/>
 * The **OpenRAG Backend** is the central orchestration service that coordinates all other components.
 
 * **Langflow** provides a visual workflow engine for building AI agents, and connects to **OpenSearch** for vector storage and retrieval.

From e4bf6785726b46420ceaff1b93a408d7aaf1260b Mon Sep 17 00:00:00 2001
From: April M <36110273+aimurphy@users.noreply.github.com>
Date: Fri, 21 Nov 2025 10:53:09 -0800
Subject: [PATCH 08/10] switch back to simple diagram with fewer arrows

---
 docs/docs/get-started/what-is-openrag.mdx | 59 ++++++-----------------
 1 file changed, 16 insertions(+), 43 deletions(-)

diff --git a/docs/docs/get-started/what-is-openrag.mdx b/docs/docs/get-started/what-is-openrag.mdx
index 218c21ed..64193112 100644
--- a/docs/docs/get-started/what-is-openrag.mdx
+++ b/docs/docs/get-started/what-is-openrag.mdx
@@ -27,50 +27,23 @@ Ready to get started? Try the [quickstart](/quickstart) to install OpenRAG and s
 OpenRAG deploys and orchestrates a lightweight, container-based architecture that combines **Langflow**, **OpenSearch**, and **Docling** into a cohesive RAG platform.
 
 ```mermaid
-%%{init: {'theme': 'dark', 'flowchart': {'useMaxWidth': false, 'width': '100%'}}}%%
-flowchart LR
-    %% Encapsulate the entire diagram in a rectangle with black background
-    subgraph DiagramContainer["OpenRAG Architecture"]
-        style DiagramContainer fill:#000000,stroke:#ffffff,color:white,stroke-width:2px
-        %% Define subgraphs for the different sections
-        subgraph LocalService["Local Service"]
-            DoclingSrv[Docling Serve]
-            style DoclingSrv fill:#a8d1ff,stroke:#0066cc,color:black,stroke-width:2px
-        end
-        subgraph Containers
-            Backend["OpenRAG Backend"]
-            style Backend fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px
-            Langflow
-            style Langflow fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px
-            OpenSearch
-            style OpenSearch fill:#e6ffe6,stroke:#006600,color:black,stroke-width:2px
-            Frontend["OpenRAG Frontend"]
-            style Frontend fill:#ffcc99,stroke:#ff6600,color:black,stroke-width:2px
-        end
-        subgraph ThirdParty["Third Party Services"]
-            GoogleDrive["Google Drive"]
-            style GoogleDrive fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
-            OneDrive
-            style OneDrive fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
-            SharePoint["SharePoint"]
-            style SharePoint fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
-            More[...]
-            style More fill:#f2e6ff,stroke:#6600cc,color:black,stroke-width:2px
-        end
-        %% Define connections
-        DoclingSrv --> Backend
-        GoogleDrive --> Backend
-        OneDrive --> Backend
-        SharePoint --> Backend
-        More --> Backend
-        Backend --> Langflow
-        Langflow <--> OpenSearch
-        Backend <--> Frontend
-        %% Style subgraphs
-        style LocalService fill:#333333,stroke:#666666,color:white,stroke-width:2px
-        style Containers fill:#444444,stroke:#666666,color:white,stroke-width:2px
-        style ThirdParty fill:#333333,stroke:#666666,color:white,stroke-width:2px
+flowchart TD
+    subgraph Containers
+    backend[OpenRAG Backend] --> langflow[Langflow]
+    langflow <--> opensearch[OpenSearch]
+    backend <--> frontend[OpenRAG frontend]
     end
+    subgraph local [Local services]
+    docling[Docling Serve]
+    end
+    subgraph ext [External connectors]
+    drive1[Google Drive]
+    drive2[OneDrive]
+    drive3[SharePoint]
+    drive4[Others]
+    end
+    local --> backend
+    ext --> backend
 ```
 
 * The **OpenRAG Backend** is the central orchestration service that coordinates all other components.

From d7931d6d9595c57f85a70db237febe3b6002c591 Mon Sep 17 00:00:00 2001
From: April M <36110273+aimurphy@users.noreply.github.com>
Date: Fri, 21 Nov 2025 11:31:07 -0800
Subject: [PATCH 09/10] try dark theme

---
 docs/docs/get-started/what-is-openrag.mdx | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/docs/docs/get-started/what-is-openrag.mdx b/docs/docs/get-started/what-is-openrag.mdx
index 64193112..0642877a 100644
--- a/docs/docs/get-started/what-is-openrag.mdx
+++ b/docs/docs/get-started/what-is-openrag.mdx
@@ -27,6 +27,10 @@ Ready to get started? Try the [quickstart](/quickstart) to install OpenRAG and s
 OpenRAG deploys and orchestrates a lightweight, container-based architecture that combines **Langflow**, **OpenSearch**, and **Docling** into a cohesive RAG platform.
 
 ```mermaid
+---
+config:
+  theme: 'dark'
+---
 flowchart TD
     subgraph Containers
     backend[OpenRAG Backend] --> langflow[Langflow]

From 224b41deeb5ed6c5346efd134f4e285dc7704b0f Mon Sep 17 00:00:00 2001
From: April M <36110273+aimurphy@users.noreply.github.com>
Date: Fri, 21 Nov 2025 11:38:10 -0800
Subject: [PATCH 10/10] specific line color from theme colors

---
 docs/docs/get-started/what-is-openrag.mdx | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/docs/docs/get-started/what-is-openrag.mdx b/docs/docs/get-started/what-is-openrag.mdx
index 0642877a..d878931d 100644
--- a/docs/docs/get-started/what-is-openrag.mdx
+++ b/docs/docs/get-started/what-is-openrag.mdx
@@ -29,7 +29,9 @@ OpenRAG deploys and orchestrates a lightweight, container-based architecture tha
 ```mermaid
 ---
 config:
-  theme: 'dark'
+  theme: 'base'
+  themeVariables:
+    lineColor: '#2e8555'
 ---
 flowchart TD
     subgraph Containers