Refactoring from gemini to google ai (#3244)

docs/components/embedders/models/google_AI.mdx

@@ -1,8 +1,8 @@
 ---
-title: Gemini
+title: Google AI
 ---
 
-To use Gemini embedding models, set the `GOOGLE_API_KEY` environment variables. You can obtain the Gemini API key from [here](https://aistudio.google.com/app/apikey).
+To use Google AI embedding models, set the `GOOGLE_API_KEY` environment variables. You can obtain the Gemini API key from [here](https://aistudio.google.com/app/apikey).
 
 ### Usage
 
@@ -40,4 +40,4 @@ Here are the parameters available for configuring Gemini embedder:
 | --- | --- | --- |
 | `model` | The name of the embedding model to use | `models/text-embedding-004` |
 | `embedding_dims` | Dimensions of the embedding model (output_dimensionality will be considered as embedding_dims, so please set embedding_dims accordingly) | `768` |
-| `api_key` | The Gemini API key | `None` |
+| `api_key` | The Google API key | `None` |

docs/components/embedders/overview.mdx

@@ -21,7 +21,7 @@ See the list of supported embedders below.
   <Card title="Azure OpenAI" href="/components/embedders/models/azure_openai"></Card>
   <Card title="Ollama" href="/components/embedders/models/ollama"></Card>
   <Card title="Hugging Face" href="/components/embedders/models/huggingface"></Card>
-  <Card title="Gemini" href="/components/embedders/models/gemini"></Card>
+  <Card title="Google AI" href="/components/embedders/models/google_AI"></Card>
   <Card title="Vertex AI" href="/components/embedders/models/vertexai"></Card>
   <Card title="Together" href="/components/embedders/models/together"></Card>
   <Card title="LM Studio" href="/components/embedders/models/lmstudio"></Card>