Add ollama example (#1711)

docs/open-source/quickstart.mdx

@@ -197,46 +197,7 @@ m.reset() # Reset all memories
 
 ## Run Mem0 Locally
 
-Mem0 can be used entirely locally with Ollama, where both the embedding model and the language model (LLM) utilize Ollama. 
-
-Here's the example on how it can be used:
-
-```python
-import os
-from mem0 import Memory
-
-config = {
-    "vector_store": {
-        "provider": "qdrant",
-        "config": {
-            "collection_name": "test",
-            "host": "localhost",
-            "port": 6333,
-            "embedding_model_dims": 768,  # (For Nomic == 768), could be some other embedding size,  change this according to  your local models dimensions 
-        },
-    },
-    "llm": {
-        "provider": "ollama",
-        "config": {
-            "model": "llama3.1:latest",
-            "temperature": 0,
-            "max_tokens": 8000,
-            "ollama_base_url": "http://localhost:11434",  # Ensure this is correct
-        },
-    },
-    "embedder": {
-        "provider": "ollama",
-        "config": {
-            "model": "nomic-embed-text:latest",
-            # "model": "snowflake-arctic-embed:latest",
-            "ollama_base_url": "http://localhost:11434",
-        },
-    },
-}
-
-m = Memory.from_config(config)
-m.add("I'm visiting Paris", user_id="john")
-```
+Please refer the example [Mem0 with Ollama](../examples/mem0-with-ollama) to run Mem0 locally.
 
 
 ## Chat Completion