feat: APIServer supports embeddings (#1256)

docs/docs/installation/advanced_usage/OpenAI_SDK_call.md

@@ -10,7 +10,7 @@ The call of multi-model services is compatible with the OpenAI interface, and th
 ## Start apiserver
 
 After deploying the model service, you need to start the API Server. By default, the model API Server uses port `8100` to start.
-```python
+```bash
 dbgpt start apiserver --controller_addr http://127.0.0.1:8000 --api_keys EMPTY
 
 ```
@@ -25,7 +25,7 @@ After the apiserver is started, the service call can be verified. First, let's l
 :::tip
 List models
 :::
-```python
+```bash
 curl http://127.0.0.1:8100/api/v1/models \
 -H "Authorization: Bearer EMPTY" \
 -H "Content-Type: application/json"
@@ -34,17 +34,31 @@ curl http://127.0.0.1:8100/api/v1/models \
 :::tip
 Chat
 :::
-```python
+```bash
 curl http://127.0.0.1:8100/api/v1/chat/completions \
 -H "Authorization: Bearer EMPTY" \
 -H "Content-Type: application/json" \
 -d '{"model": "vicuna-13b-v1.5", "messages": [{"role": "user", "content": "hello"}]}'
 ```
 
+:::tip
+Embedding 
+:::
+```bash
+curl http://127.0.0.1:8100/api/v1/embeddings \
+-H "Authorization: Bearer EMPTY" \
+-H "Content-Type: application/json" \
+-d '{
+    "model": "text2vec",
+    "input": "Hello world!"
+}'
+```
+
+
 
 ## Verify via OpenAI SDK
 
-```python
+```bash
 import openai
 openai.api_key = "EMPTY"
 openai.api_base = "http://127.0.0.1:8100/api/v1"