Address review comments and restructure docs

Author: rahulgurnani

site-src/guides/index.md

@@ -75,6 +75,7 @@ A cluster with:
    kubectl apply -f https://github.com/kubernetes-sigs/gateway-api-inference-extension/releases/latest/download/manifests.yaml
    ```
 
+<<<<<<< HEAD
 ### Deploy InferenceModel
 
    Deploy the sample InferenceModel which is configured to forward traffic to the `food-review-1` [LoRA adapter](https://docs.vllm.ai/en/latest/features/lora.html) of the sample model server.
@@ -93,6 +94,8 @@ A cluster with:
   oci://registry.k8s.io/gateway-api-inference-extension/charts/inferencepool
    ```
 
+=======
+>>>>>>> 8e5ae69 (Address review comments and restructure docs)
 ### Deploy an Inference Gateway
 
    Choose one of the following options to deploy an Inference Gateway.
@@ -115,8 +118,19 @@ A cluster with:
          NAME                CLASS               ADDRESS         PROGRAMMED   AGE
          inference-gateway   inference-gateway   <MY_ADDRESS>    True         22s
          ```
+      3. Deploy the HTTPRoute
 
-      3. To install an InferencePool named vllm-llama3-8b-instruct that selects from endpoints with label app: vllm-llama3-8b-instruct and listening on port 8000, you can run the following command:
+         ```bash
+         kubectl apply -f https://github.com/kubernetes-sigs/gateway-api-inference-extension/raw/main/config/manifests/gateway/gke/httproute.yaml
+         ```
+
+      4. Confirm that the HTTPRoute status conditions include `Accepted=True` and `ResolvedRefs=True`:
+
+         ```bash
+         kubectl get httproute llm-route -o yaml
+         ```
+
+      5. To install an InferencePool named vllm-llama3-8b-instruct that selects from endpoints with label app: vllm-llama3-8b-instruct and listening on port 8000, you can run the following command:
 
          ```bash
          helm install vllm-llama3-8b-instruct \
@@ -128,6 +142,12 @@ A cluster with:
          
          The Helm install automatically installs the endpoint-picker, inferencepool alongwith health check policy.
 
+      6. Given that the default connection timeout may be insufficient for most inference workloads, it is recommended to configure a timeout appropriate for your intended use case.
+      ```
+      kubectl apply -f https://github.com/kubernetes-sigs/gateway-api-inference-extension/raw/main/config/manifests/gateway/gke/gcp-backend-policy.yaml
+      ```
+
+
 === "Istio"
 
       Please note that this feature is currently in an experimental phase and is not intended for production use.
@@ -234,6 +254,7 @@ A cluster with:
          kubectl get httproute llm-route -o yaml
          ```
 
+<<<<<<< HEAD
 === "Agentgateway"
 
       [Agentgateway](https://agentgateway.dev/) is a purpose-built proxy designed for AI workloads, and comes with native support for inference routing. Agentgateway integrates with [Kgateway](https://kgateway.dev/) as it's control plane.
@@ -280,6 +301,17 @@ A cluster with:
          ```bash
          kubectl get httproute llm-route -o yaml
          ```
+=======
+
+### Deploy InferenceObjective (Optional)
+
+   Deploy the sample InferenceObjective which is configured to forward traffic to the `food-review-1` [LoRA adapter](https://docs.vllm.ai/en/latest/features/lora.html) of the sample model server.
+
+   ```bash
+   kubectl apply -f https://github.com/kubernetes-sigs/gateway-api-inference-extension/raw/main/config/manifests/inferenceobjective.yaml
+   ```
+
+>>>>>>> 8e5ae69 (Address review comments and restructure docs)
 
 ### Try it out