Added RAG and reasoning examples

README.md

@@ -311,6 +311,51 @@ print(llm.create_chat_completion(
 ))
 ```
 
+#### Simple llama-cpp-python RAG code, requires [PR#1440](https://github.com/abetlen/llama-cpp-python/pull/1440)
+
+```python
+from llama_cpp import Llama
+
+llm = Llama(model_path="./granite-3.2-8b-instruct.IQ4_XS.gguf", n_gpu_layers=41, n_ctx=131072)
+
+print(llm.create_chat_completion(
+    messages = [
+        {
+            "role": "user",
+            "content": "Write a short summary of each document please."
+        }
+    ],
+    documents = [
+        {
+            "text": "Lorem ipsum",
+        },
+        {
+            "text": "Dolor sit amet",
+        }
+    ]
+))
+```
+
+#### Simple llama-cpp-python reasoning code, requires [PR#1440](https://github.com/abetlen/llama-cpp-python/pull/1440)
+
+```python
+from llama_cpp import Llama
+
+llm = Llama(model_path="./granite-3.2-8b-instruct.IQ4_XS.gguf", n_gpu_layers=41, n_ctx=131072)
+
+print(llm.create_chat_completion(
+    messages = [
+        {
+            "role": "user",
+            "content": "You have 10 liters of a 30% acid solution. How many liters of a 70% acid solution must be added to achieve a 50% acid mixture?"
+        }
+    ],
+    template_kwargs = {
+        "thinking": True
+    }
+))
+```
+
 <!-- README_GGUF.md-how-to-run end -->
 
 <!-- original-model-card start -->