[DDOC-1253] Add Gemini models (#680)

* Resolve conflicts

* Resolve conflicts

* Add new Gemini model tiles and pages

* Adjust model card pills

* Fix model naming

* Fix model naming

Author: SowaProgramuje

content/guides/box-ai/ai-models/google-gemini-2-0-flash-001-model-card.md

@@ -0,0 +1,35 @@
+---
+rank: 8
+related_guides:
+  - box-ai/ai-tutorials/ask-questions
+  - box-ai/ai-tutorials/generate-text
+  - box-ai/ai-tutorials/extract-metadata
+  - box-ai/ai-tutorials/extract-metadata-structured
+  - box-ai/ai-agents/get-agent-default-config
+---
+
+# Google Gemini 2.0 Flash
+
+**Google Gemini 2.0 Flash** is a multimodal model designed for optimal for high-volume, high-frequency tasks at scale. It capable of multimodal reasoning and has a context window of 1 million tokens.
+
+## Model details
+
+| Item  | Value | Description |
+|-----------|----------|----------|
+|Model name|**Google Gemini 2.0 Flash**| The name of the model. | 
+|API model name|`google__gemini_2_0_flash_001`| The name of the model that is used in the [Box AI API for model overrides][overrides]. The user must provide this exact name for the API to work. |
+|Hosting layer| **Google** | The trusted organization that securely hosts LLM. |
+|Model provider|**Google**| The organization that provides this model. |
+|Release date|**February 5th 2025** | The release date for the model.|
+|Knowledge cutoff date| **June 2024**| The date after which the model does not get any information updates. |
+|Input context window |**1m tokens**| The number of tokens supported by the input context window.| 
+|Maximum output tokens |**8k tokens** |The number of tokens that can be generated by the model in a single request.| 
+|Empirical throughput| **168** | The number of tokens the model can generate per second.|
+|Open source | **No** | Specifies if the model's code is available for public use.|
+
+## Additional documentation
+
+For additional information, see [official Google Gemini 2.0 Flash documentation][vertex-ai-gemini-models].
+
+[vertex-ai-gemini-models]: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-models
+[overrides]: g://box-ai/ai-agents/ai-agent-overrides

content/guides/box-ai/ai-models/google-gemini-2-0-flash-lite-preview-02-05.md

@@ -0,0 +1,35 @@
+---
+rank: 9
+related_guides:
+  - box-ai/ai-tutorials/ask-questions
+  - box-ai/ai-tutorials/generate-text
+  - box-ai/ai-tutorials/extract-metadata
+  - box-ai/ai-tutorials/extract-metadata-structured
+  - box-ai/ai-agents/get-agent-default-config
+---
+
+# Google Gemini 2.0 Flash Lite
+
+**Google Gemini 2.0 Flash Lite** is a multimodal model designed to handle lightweight tasks. It is designed for high-volume, low-latency tasks, making it highly efficient for large-scale use cases like summarization, multimodal processing, and categorization but with higher quality than Gemini 1.5 Flash.
+
+## Model details
+
+| Item  | Value | Description |
+|-----------|----------|----------|
+|Model name|**Google Gemini 2.0 Flash Lite**| The name of the model. | 
+|API model name|`google__gemini_2_0_flash_lite_preview`| The name of the model that is used in the [Box AI API for model overrides][overrides]. The user must provide this exact name for the API to work. |
+|Hosting layer| **Google** | The trusted organization that securely hosts LLM. |
+|Model provider|**Google**| The organization that provides this model. |
+|Release date|**February 5th 2025** | The release date for the model.|
+|Knowledge cutoff date| **June 2024**| The date after which the model does not get any information updates. |
+|Input context window |**1m tokens**| The number of tokens supported by the input context window.| 
+|Maximum output tokens |**8k tokens** |The number of tokens that can be generated by the model in a single request.| 
+|Empirical throughput| **168** | The number of tokens the model can generate per second.|
+|Open source | **No** | Specifies if the model's code is available for public use.|
+
+## Additional documentation
+
+For additional information, see [official Google Gemini 2.0 Flash Lite documentation][vertex-ai-gemini-models].
+
+[vertex-ai-gemini-models]: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-models
+[overrides]: g://box-ai/ai-agents/ai-agent-overrides

content/guides/box-ai/ai-models/index.md

@@ -41,61 +41,75 @@ Models offered in **Preview** mode have not been fully performance-tested at sca
         <strong style="background-color: #e1ffe7">Available</strong>
       </div>
     </Tile>
-    <Tile type="gemini" title="google__gemini_1_5_flash_001" href="/guides/box-ai/ai-models/google-gemini-1-5-flash-001-model-card">
-      The fastest Gemini multimodal model, built for high volume tasks and latency-sensitive applications.
+    <Tile type="gpt" title="azure_openai__gpt_4o_2024_05_13" href="/guides/box-ai/ai-models/azure-openai-gpt-4o-2024-05-13-model-card">
+      A multimodal model, highly efficient in handling complex, multi-step tasks.
       <div>
-        <strong style="background-color: #e8e8e8">Default for Box AI Extract</strong>
-        <strong style="background-color: #fffbf3">Preview</strong>
+        <strong style="background-color: #e8e8e8">Chat</strong>
+        <strong style="background-color: #e1ffe7">Available</strong>
       </div>
     </Tile>
-    <Tile type="gpt" title="azure_openai__gpt_4o_2024_05_13" href="/guides/box-ai/ai-models/azure-openai-gpt-4o-2024-05-13-model-card">
-      A multimodal model, highly efficient in handling complex, multi-step tasks.
+    <Tile type="gpt" title="azure__openai__text_embedding_ada_002" href="/guides/box-ai/ai-models/azure-text-embedding-ada-002-model-card">
+      A most capable 2nd generation text embedding model. Skilled in
+      text search, code search, and sentence similarity.
+      <div>
+        <strong style="background-color: #e8e8e8">Embeddings</strong>
+        <strong style="background-color: #e1ffe7">Available</strong>
+      </div>
+    </Tile>
+    <Tile type="gemini" title="google__gemini_2_0_flash_001" href="/guides/box-ai/ai-models/google-gemini-2-0-flash-001-model-card">
+      Gemini multimodal model designed for optimal for high-volume, high-frequency tasks at scale.
       <div>
         <strong style="background-color: #e8e8e8">Chat</strong>
         <strong style="background-color: #e1ffe7">Available</strong>
       </div>
     </Tile>
-        <Tile type="gemini" title="google__gemini_1_5_pro_001" href="/guides/box-ai/ai-models/google-gemini-1-5-pro-001-model-card">
-      A foundation model that performs well at a variety of multimodal tasks.
+    <Tile type="gemini" title="google__gemini_2_0_flash_lite_preview" href="/guides/box-ai/ai-models/google-gemini-2-0-flash-lite-preview-02-05">
+      Gemini multimodal model designed to handle lightweight tasks.
       <div>
-      <strong style="background-color: #e8e8e8">Chat</strong>
-        <strong style="background-color: #fffbf3">Preview</strong>
+        <strong style="background-color: #e8e8e8">Chat</strong>
+        <strong style="background-color: #e1ffe7">Available</strong>
       </div>
     </Tile>
-    <Tile type="gpt" title="azure__openai__text_embedding_ada_002" href="/guides/box-ai/ai-models/azure-text-embedding-ada-002-model-card">
-      A most capable 2nd generation text embedding model. Skilled in
-      text search, code search, and sentence similarity.
+    <Tile type="gemini" title="google__gemini_1_5_flash_001" href="/guides/box-ai/ai-models/google-gemini-1-5-flash-001-model-card">
+      Gemini multimodal model, built for high volume tasks and latency-sensitive applications.
+      <div>
+        <strong style="background-color: #e8e8e8">Default for Box AI Extract</strong>
+        <strong style="background-color: #e1ffe7">Available</strong>
+      </div>
+    </Tile>
+    <Tile type="gemini" title="google__gemini_1_5_pro_001" href="/guides/box-ai/ai-models/google-gemini-1-5-pro-001-model-card">
+        A foundation model that performs well at a variety of multimodal tasks.
       <div>
-       <strong style="background-color: #e8e8e8">Embeddings</strong>
+        <strong style="background-color: #e8e8e8">Chat</strong>
         <strong style="background-color: #e1ffe7">Available</strong>
       </div>
     </Tile>
     <Tile type="model" title="aws__claude_3_haiku" href="/guides/box-ai/ai-models/aws-claude-3-haiku-model-card">
       A model tailored for various language tasks, including creative writing and conversational AI.
       <div>
         <strong style="background-color: #e8e8e8">Chat</strong>
-        <strong style="background-color: #e1ffe7">Preview</strong>
+        <strong style="background-color: #fffbf3">Preview</strong>
       </div>
     </Tile>
     <Tile type="model" title="aws__claude_3_sonnet" href="/guides/box-ai/ai-models/aws-claude-3-sonnet-model-card">
        A model designed for advanced language tasks, focusing on comprehension and context handling.
       <div>
-         <strong style="background-color: #e8e8e8">Chat</strong>
-        <strong style="background-color: #e1ffe7">Preview</strong>
+        <strong style="background-color: #e8e8e8">Chat</strong>
+        <strong style="background-color: #fffbf3">Preview</strong>
       </div>
     </Tile>
      <Tile type="model" title="aws__claude_3_5_sonnet" href="/guides/box-ai/ai-models/aws-claude-3-5-sonnet-model-card">
       A model designed to enhance language understanding and generation tasks.
       <div>
-         <strong style="background-color: #e8e8e8">Chat</strong>
-        <strong style="background-color: #e1ffe7">Preview</strong>
+        <strong style="background-color: #e8e8e8">Chat</strong>
+        <strong style="background-color: #fffbf3">Preview</strong>
       </div>
     </Tile>
      <Tile type="model" title="aws__titan_text_lite" href="/guides/box-ai/ai-models/aws-titan-text-lite-model-card">
       A model capable of advanced language processing, handling extensive contexts, making it suitable for complex tasks.
       <div>
-         <strong style="background-color: #e8e8e8">Chat</strong>
-        <strong style="background-color: #e1ffe7">Preview</strong>
+        <strong style="background-color: #e8e8e8">Chat</strong>
+        <strong style="background-color: #fffbf3">Preview</strong>
       </div>
     </Tile>
 </TileGrid>