Add default query for 'model.encode_query' usage

README.md

@@ -157,6 +157,42 @@ print(embeddings)
 '''
 ```
 
+Or you can use `encode_query` and `encode_document` to automatically add the default prompt for queries (`"Instruct: Given a query, retrieve documents that answer the query \n Query: "`) and documents (`""`), respectively.
+
+```python
+from sentence_transformers import SentenceTransformer
+import torch
+
+model = SentenceTransformer(
+    "KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5",
+    trust_remote_code=True,
+    model_kwargs={
+        "torch_dtype": torch.bfloat16,
+        "attn_implementation": "flash_attention_2",  # Optional
+    },
+)
+model.max_seq_length = 512
+
+queries = [
+    "What is the capital of China?",
+    "Explain gravity",
+]
+documents = [
+    "The capital of China is Beijing.",
+    "Gravity is a force that attracts two bodies towards each other. It gives weight to physical objects and is responsible for the movement of planets around the sun.",
+]
+
+query_embeddings = model.encode_query(queries)
+document_embeddings = model.encode_document(documents)
+
+similarities = model.similarity(query_embeddings, document_embeddings)
+print(similarities)
+'''
+tensor([[0.9034, 0.2563],
+        [0.3153, 0.7396]])
+'''
+```
+
 ### vllm support
 ```
 pip install -U vllm==0.8.5

config_sentence_transformers.json

@@ -5,7 +5,7 @@
     "pytorch": "2.1.2+cu121"
   },
   "prompts": {
-    "query": "",
+    "query": "Instruct: Given a query, retrieve documents that answer the query \n Query: ",
     "document": ""
   },
   "default_prompt_name": null,