Update SDK README.md

Author: cmodi-meta

README.md

@@ -8,9 +8,9 @@ Features:
 - Remote Inferencing: Perform inferencing tasks remotely with Llama models hosted on a remote connection (or serverless localhost).
 - Simple Integration: With easy-to-use APIs, a developer can quickly integrate Llama Stack in their Android app. The difference with local vs remote inferencing is also minimal.
 
-Latest Release Notes: [v0.1.7](https://github.com/meta-llama/llama-stack-client-kotlin/releases/tag/v0.1.7)
+Latest Release Notes: [v0.2.2](https://github.com/meta-llama/llama-stack-client-kotlin/releases/tag/v0.2.2)
 
-Note: The current recommended version is 0.1.7 Llama Stack server with 0.1.7 Kotlin client SDK.
+Note: The current recommended version is 0.2.2 Llama Stack server with 0.2.2 Kotlin client SDK.
 
 *Tagged releases are stable versions of the project. While we strive to maintain a stable main branch, it's not guaranteed to be free of bugs or issues.*
 
@@ -38,7 +38,7 @@ If you plan on doing remote inferencing this is sufficient to get started.
 For local inferencing, it is required to include the ExecuTorch library into your app.
 
 Include the ExecuTorch library by:
-1. Download the `download-prebuilt-et-lib.sh` script file from the [llama-stack-client-kotlin-client-local](https://github.com/meta-llama/llama-stack-client-kotlin/blob/release/0.0.58/llama-stack-client-kotlin-client-local/download-prebuilt-et-lib.sh) directory to your local machine.
+1. Download the `download-prebuilt-et-lib.sh` script file from the [llama-stack-client-kotlin-client-local](https://github.com/meta-llama/llama-stack-client-kotlin/blob/latest-release/llama-stack-client-kotlin-client-local/download-prebuilt-et-lib.sh) directory to your local machine.
 2. Move the script to the top level of your Android app where the app directory resides:
 <p align="center">
 <img src="https://raw.githubusercontent.com/meta-llama/llama-stack-client-kotlin/refs/heads/latest-release/doc/img/example_android_app_directory.png" style="width:300px">
@@ -54,6 +54,8 @@ dependencies {
 }
 ```
 
+See other dependencies for local RAG in Android app [README](https://github.com/meta-llama/llama-stack-client-kotlin/tree/latest-release/examples/android_app#quick-start).
+
 ## Llama Stack APIs in Your Android App
 Breaking down the demo app, this section will show the core pieces that are used to initialize and run inference with Llama Stack using the Kotlin library.
 
@@ -62,7 +64,7 @@ Start a Llama Stack server on localhost. Here is an example of how you can do th
 ```
 conda create -n stack-fireworks python=3.10
 conda activate stack-fireworks
-pip install --no-cache llama-stack==0.1.7
+pip install --no-cache llama-stack==0.2.2
 llama stack build --template fireworks --image-type conda
 export FIREWORKS_API_KEY=<SOME_KEY>
 llama stack run fireworks --port 5050