Merge pull request #950 from Classic298/dev

docs/getting-started/quick-start/starting-with-ollama.mdx

@@ -9,6 +9,16 @@ Open WebUI makes it easy to connect and manage your **Ollama** instance. This gu
 
 ---
 
+## Protocol-Oriented Design
+
+Open WebUI is designed to be **Protocol-Oriented**. This means that when we refer to "Ollama", we are specifically referring to the **Ollama API Protocol** (typically running on port `11434`).
+
+While some tools may offer basic compatibility, this connection type is optimized for the unique features of the Ollama service, such as native model management and pulling directly through the Admin UI. 
+
+If your backend is primarily based on the OpenAI standard (like LocalAI or Docker Model Runner), we recommend using the [OpenAI-Compatible Server Guide](/getting-started/quick-start/starting-with-openai-compatible) for the best experience.
+
+---
+
 ## Step 1: Setting Up the Ollama Connection
 
 Once Open WebUI is installed and running, it will automatically attempt to connect to your Ollama instance. If everything goes smoothly, you’ll be ready to manage and use models right away.

docs/getting-started/quick-start/starting-with-openai-compatible.mdx

@@ -7,25 +7,30 @@ title: "Starting with OpenAI-Compatible Servers"
 
 ## Overview
 
-Open WebUI isn't just for OpenAI/Ollama/Llama.cpp—you can connect **any server that implements the OpenAI-compatible API**, running locally or remotely. This is perfect if you want to run different language models, or if you already have a favorite backend or ecosystem. This guide will show you how to:
-
-- Set up an OpenAI-compatible server (with a few popular options)
-- Connect it to Open WebUI
-- Start chatting right away
-
-## Step 1: Choose an OpenAI-Compatible Server
-
-There are many servers and tools that expose an OpenAI-compatible API. Here are some of the most popular:
-
-- [Llama.cpp](https://github.com/ggml-org/llama.cpp): Extremely efficient, runs on CPU and GPU
-- [Ollama](https://ollama.com/): Super user-friendly and cross-platform
-- [LM Studio](https://lmstudio.ai/): Rich desktop app for Windows/Mac/Linux
-- [Lemonade](https://lemonade-server.ai/): Fast ONNX-based backend with NPU/iGPU acceleration
-
-Pick whichever suits your workflow!
+Open WebUI isn't just for OpenAI/Ollama/Llama.cpp—you can connect **any server that implements the OpenAI-compatible API**, running locally or remotely. This is perfect if you want to run different language models, or if you already have a favorite backend or ecosystem.
 
 ---
 
+## Protocol-Oriented Design
+
+Open WebUI is built around **Standard Protocols**. Instead of building specific modules for every individual AI provider (like Anthropic, Gemini, or Mistral), Open WebUI supports the **OpenAI Chat Completions Protocol**. 
+
+Any provider that offers an OpenAI-compatible endpoint can be used with Open WebUI. This approach ensure maximum compatibility with minimal configuration bloat. 
+
+### Popular Compatible Servers and Providers
+
+There are many servers and tools that expose an OpenAI-compatible API. Pick whichever suits your workflow:
+
+- **Local Runners**: [Llama.cpp](https://github.com/ggml-org/llama.cpp), [Ollama](https://ollama.com/), [LM Studio](https://lmstudio.ai/), [LocalAI](https://localai.io/), [Docker Model Runner](https://docs.docker.com/ai/model-runner/), [Lemonade](https://lemonade-server.ai/).
+- **Cloud Providers**: [Groq](https://groq.com/), [Mistral AI](https://mistral.ai/), [Perplexity](https://www.perplexity.ai/), [OpenRouter](https://openrouter.ai/), [LiteLLM](https://docs.litellm.ai/).
+- **Google Gemini**: Google also provides an OpenAI-compatible endpoint for Gemini models.
+  - **Endpoint**: `https://generativelanguage.googleapis.com/v1beta/openai/`
+  - **Key**: Use your Gemini API key from [Google AI Studio](https://aistudio.google.com/).
+
+---
+
+## Step 1: Connect Your Server to Open WebUI
+
 #### 🍋 Get Started with Lemonade
 
 Lemonade is a plug-and-play ONNX-based OpenAI-compatible server. Here’s how to try it on Windows: