Doc Updates (mem0ai#1843)

docs/components/llms/models/azure_openai.mdx

@@ -36,6 +36,35 @@ m = Memory.from_config(config)
 m.add("Likes to play cricket on weekends", user_id="alice", metadata={"category": "hobbies"})
 ```
 
+We also support the new [OpenAI structured-outputs](https://platform.openai.com/docs/guides/structured-outputs/introduction) model.
+
+```python
+import os
+from mem0 import Memory
+
+os.environ["LLM_AZURE_OPENAI_API_KEY"] = "your-api-key"
+os.environ["LLM_AZURE_DEPLOYMENT"] = "your-deployment-name"
+os.environ["LLM_AZURE_ENDPOINT"] = "your-api-base-url"
+os.environ["LLM_AZURE_API_VERSION"] = "version-to-use"
+
+config = {
+    "llm": {
+        "provider": "azure_openai_structured",
+        "config": {
+            "model": "your-deployment-name",
+            "temperature": 0.1,
+            "max_tokens": 2000,
+             "azure_kwargs" : {
+                  "azure_deployment" : "",
+                  "api_version" : "",
+                  "azure_endpoint" : "",
+                  "api_key" : ""
+              }
+        }
+    }
+}
+```
+
 ## Config
 
-All available parameters for the `azure_openai` config are present in [Master List of All Params in Config](../config).
+All available parameters for the `azure_openai` config are present in [Master List of All Params in Config](../config).

docs/components/llms/overview.mdx

@@ -23,4 +23,28 @@ To view all supported llms, visit the [Supported LLMs](./models).
     <Card title="Mistral AI" href="/components/llms/models/mistral_ai"></Card>
     <Card title="Google AI" href="/components/llms/models/google_ai"></Card>
     <Card title="AWS bedrock" href="/components/llms/models/aws_bedrock"></Card>
-</CardGroup>
+</CardGroup>
+
+## Structured vs Unstructured Outputs
+
+Mem0 supports two types of OpenAI LLM formats, each with its own strengths and use cases:
+
+### Structured Outputs
+
+Structured outputs are LLMs that align with OpenAI's structured outputs model:
+
+- **Optimized for:** Returning structured responses (e.g., JSON objects)
+- **Benefits:** Precise, easily parseable data
+- **Ideal for:** Data extraction, form filling, API responses
+- **Learn more:** [OpenAI Structured Outputs Guide](https://platform.openai.com/docs/guides/structured-outputs/introduction)
+
+### Unstructured Outputs
+
+Unstructured outputs correspond to OpenAI's standard, free-form text model:
+
+- **Flexibility:** Returns open-ended, natural language responses
+- **Customization:** Use the `response_format` parameter to guide output
+- **Trade-off:** Less efficient than structured outputs for specific data needs
+- **Best for:** Creative writing, explanations, general conversation
+
+Choose the format that best suits your application's requirements for optimal performance and usability.