Refactor docs (#3335)

docs/components/llms/models/gemini.mdx

@@ -1,76 +0,0 @@
----
-title: Gemini
----
-
- 
-
-To use the Gemini model, set the `GEMINI_API_KEY` environment variable. You can obtain the Gemini API key from [Google AI Studio](https://aistudio.google.com/app/apikey).
-
-> **Note:** As of the latest release, Mem0 uses the new `google.genai` SDK instead of the deprecated `google.generativeai`. All message formatting and model interaction now use the updated `types` module from `google.genai`.
-
-> **Note:** Some Gemini models are being deprecated and will retire soon. It is recommended to migrate to the latest stable models like `"gemini-2.0-flash-001"` or `"gemini-2.0-flash-lite-001"` to ensure ongoing support and improvements.
-
-## Usage
-
-<CodeGroup>
-```python Python
-import os
-from mem0 import Memory
-
-os.environ["OPENAI_API_KEY"] = "your-openai-api-key"  # Used for embedding model
-os.environ["GEMINI_API_KEY"] = "your-gemini-api-key"
-
-config = {
-    "llm": {
-        "provider": "gemini",
-        "config": {
-            "model": "gemini-2.0-flash-001",
-            "temperature": 0.2,
-            "max_tokens": 2000,
-            "top_p": 1.0
-        }
-    }
-}
-
-m = Memory.from_config(config)
-
-messages = [
-    {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
-    {"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
-    {"role": "user", "content": "I’m not a big fan of thrillers, but I love sci-fi movies."},
-    {"role": "assistant", "content": "Got it! I'll avoid thrillers and suggest sci-fi movies instead."}
-]
-
-m.add(messages, user_id="alice", metadata={"category": "movies"})
-
-```
-```typescript TypeScript
-import { Memory } from "mem0ai/oss";
-
-const config = {
-    llm: {
-        // You can also use "google" as provider ( for backward compatibility )
-        provider: "gemini",
-        config: {
-            model: "gemini-2.0-flash-001",
-            temperature: 0.1
-        }
-    }
-}
-
-const memory = new Memory(config);
-
-const messages = [
-    { role: "user", content: "I'm planning to watch a movie tonight. Any recommendations?" },
-    { role: "assistant", content: "How about thriller movies? They can be quite engaging." },
-    { role: "user", content: "I’m not a big fan of thrillers, but I love sci-fi movies." },
-    { role: "assistant", content: "Got it! I'll avoid thrillers and suggest sci-fi movies instead." }
-]
-
-await memory.add(messages, { userId: "alice", metadata: { category: "movies" } });
-```
-</CodeGroup>
-
-## Config
-
-All available parameters for the `Gemini` config are present in [Master List of All Params in Config](../config).

docs/platform/advanced-memory-operations.mdx

@@ -611,7 +611,7 @@ curl -X GET "https://api.mem0.ai/v1/memories/?user_id=alex&page=1&page_size=50"
     "results": [
         {
             "id":"f38b689d-6b24-45b7-bced-17fbb4d8bac7",
-            "memory":"是素食主义者，对坚果过敏。",
+            "memory":"Is a vegetarian and allergic to nuts.",
             "agent_id":"travel-assistant",
             "hash":"62bc074f56d1f909f1b4c2b639f56f6a",
             "metadata":null,