DeepSeek Integration (#2173)

docs/components/llms/config.mdx

@@ -72,6 +72,7 @@ Here's the table based on the provided parameters:
 | `ollama_base_url`    | Base URL for Ollama API                       | Ollama            |
 | `openai_base_url`    | Base URL for OpenAI API                       | OpenAI            |
 | `azure_kwargs`       | Azure LLM args for initialization             | AzureOpenAI       |
+| `deepseek_base_url`  | Base URL for DeepSeek API                     | DeepSeek          |
 
 
 ## Supported LLMs

docs/components/llms/models/deepseek.mdx

@@ -0,0 +1,49 @@
+---
+title: DeepSeek
+---
+
+To use DeepSeek LLM models, you have to set the `DEEPSEEK_API_KEY` environment variable. You can also optionally set `DEEPSEEK_API_BASE` if you need to use a different API endpoint (defaults to "https://api.deepseek.com").
+
+## Usage
+
+```python
+import os
+from mem0 import Memory
+
+os.environ["DEEPSEEK_API_KEY"] = "your-api-key"
+os.environ["OPENAI_API_KEY"] = "your-api-key" # for embedder model
+
+config = {
+    "llm": {
+        "provider": "deepseek",
+        "config": {
+            "model": "deepseek-chat",  # default model
+            "temperature": 0.2,
+            "max_tokens": 1500,
+            "top_p": 1.0
+        }
+    }
+}
+
+m = Memory.from_config(config)
+m.add("Likes to play cricket on weekends", user_id="alice", metadata={"category": "hobbies"})
+```
+
+You can also configure the API base URL in the config:
+
+```python
+config = {
+    "llm": {
+        "provider": "deepseek",
+        "config": {
+            "model": "deepseek-chat",
+            "deepseek_base_url": "https://your-custom-endpoint.com",
+            "api_key": "your-api-key"  # alternatively to using environment variable
+        }
+    }
+}
+```
+
+## Config
+
+All available parameters for the `deepseek` config are present in [Master List of All Params in Config](../config).

docs/components/llms/overview.mdx

@@ -24,6 +24,7 @@ To view all supported llms, visit the [Supported LLMs](./models).
     <Card title="Google AI" href="/components/llms/models/google_ai"></Card>
     <Card title="AWS bedrock" href="/components/llms/models/aws_bedrock"></Card>
     <Card title="Gemini" href="/components/llms/models/gemini"></Card>
+    <Card title="DeepSeek" href="/components/llms/models/deepseek"></Card>
 </CardGroup>
 
 ## Structured vs Unstructured Outputs

docs/overview.mdx

@@ -3,7 +3,7 @@ title: Overview
 ---
 
 <Note type="info">
-  🎉 Exciting news! [CrewAI](https://crewai.com) now supports Mem0 for memory.
+  🎉 Exciting news! We have added support for [DeepSeek](https://deepseek.com).
 </Note>
 
 [Mem0](https://mem0.dev/wd) (pronounced "mem-zero") enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. Mem0 remembers user preferences and traits and continuously updates over time, making it ideal for applications like customer support chatbots and AI assistants.