docs: add examples of vLLM and Xinference models (#522)

Close #205 , #392 , and #448 .

- The LLMs and embedding models served by vLLM and Xinference have been
tested to be able to work properly through the openai_like option. (#205
and #448 )
- Bge-m3 served by Ollama can also work properly. (#392 )

frontend/app/src/pages/docs/embedding-model.mdx

@@ -31,10 +31,13 @@ OpenAI provides a variety of Embedding Models, we recommend using the OpenAI `te
 
 
 For more information, see the [OpenAI Embedding Models documentation](https://platform.openai.com/docs/guides/embeddings#embedding-models).
+
 ### OpenAI-Like
 
 Autoflow also supports embedding model providers (such as [ZhipuAI](#zhipuai)) that conform to the OpenAI API specification.
 
+You can also use models deployed on local AI model platforms (such as [vLLM](#vllm) and [Xinference](https://inference.readthedocs.io/en/latest/index.html)) that conform to the OpenAI API specification in Autoflow.
+
 To use OpenAI-Like embedding model providers, you need to provide the **base URL** of the embedding API as the following JSON format in **Advanced Settings**:
 
 ```json
@@ -53,7 +56,7 @@ You need to set up the base URL in the **Advanced Settings** as follows:
 
 ```json
 {
-    "api_base": "https://open.bigmodel.cn/api/paas/v4"
+    "api_base": "https://open.bigmodel.cn/api/paas/v4/"
 }
 ```
 
@@ -65,6 +68,22 @@ You need to set up the base URL in the **Advanced Settings** as follows:
 
 For more information, see the [ZhipuAI embedding models documentation](https://open.bigmodel.cn/dev/api/vector/embedding-3).
 
+#### vLLM
+
+When serving locally, the default embedding API endpoint for vLLM is:
+
+`http://localhost:8000/v1/embeddings`
+
+You need to set up the base URL in the **Advanced Settings** as follows:
+
+```json
+{
+    "api_base": "http://localhost:8000/v1/"
+}
+```
+
+For more information, see the [vLLM documentation](https://docs.vllm.ai/en/stable/).
+
 ### JinaAI
 
 JinaAI provides multimodal multilingual long-context Embedding Models for RAG applications.
@@ -99,6 +118,7 @@ Ollama is a lightweight framework for building and running large language models
 | Embedding Model    | Vector Dimensions | Max Tokens |
 | ------------------ | ----------------- | ---------- |
 | `nomic-embed-text` | 768               | 8192       |
+| `bge-m3`           | 1024              | 8192       |
 
 To use Ollama, you'll need to configure the API base URL in the **Advanced Settings**:
 
@@ -127,4 +147,3 @@ To configure the Local Embedding Service, set the API URL in the **Advanced Sett
     "api_url": "http://local-embedding-reranker:5001/api/v1/embedding"
 }
 ```
-

frontend/app/src/pages/docs/llm.mdx

@@ -53,3 +53,17 @@ Currently Autoflow supports the following LLM providers:
             "api_base": "http://localhost:11434"
         }
         ```
+    - [vLLM](https://docs.vllm.ai/en/stable/)
+        - Default config:
+        ```json
+        {
+            "api_base": "http://localhost:8000/v1/"
+        }
+        ```
+    - [Xinference](https://inference.readthedocs.io/en/latest/index.html)
+        - Default config:
+        ```json
+        {
+            "api_base": "http://localhost:9997/v1/"
+        }
+        ```