update README

README.md

@@ -127,8 +127,14 @@ This model can be used with the [llama.cpp server](https://github.com/ggml-org/l
 
 Embedding text with `nomic-embed-text` requires task instruction prefixes at the beginning of each string.
 
-For example, the code below shows how to use the `search_query` prefix to embed user questions, e.g. in a RAG application:
+For example, the code below shows how to use the `search_query` prefix to embed user questions, e.g. in a RAG application.
 
+Start a llama.cpp server:
+```
+llama-server -m nomic-embed-text-v2-moe.bf16.gguf --embeddings
+```
+
+And run this code:
 ```python
 import requests
 
@@ -149,7 +155,7 @@ for d, e in zip(docs, docs_embed):
     print(f'similarity {dot(query_embed, e):.2f}: {d!r}')
 ```
 
-Output:
+You should see output similar to this:
 ```
 query: '跟我讲讲嵌入'
 similarity 0.48: '嵌入很酷'