Add tongyi gte-rerank-v2 (#14215)

https://bailian.console.aliyun.com/cn-beijing?tab=api#/api/?type=model&url=2780056

### What problem does this PR solve?

_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._

### Type of change
- [x] Other (please describe): add gte-rerank-v2、qwen3-rerank

conf/llm_factories.json

@@ -790,6 +790,18 @@
                     "max_tokens": 1000000,
                     "model_type": "chat",
                     "is_tools": true
+                },
+                {
+                    "llm_name": "gte-rerank-v2",
+                    "tags": "RE-RANK,4k",
+                    "max_tokens": 4000,
+                    "model_type": "rerank"
+                },
+                {
+                    "llm_name": "qwen3-rerank",
+                    "tags": "RE-RANK,4k",
+                    "max_tokens": 4000,
+                    "model_type": "rerank"
                 }
             ]
         },

rag/llm/rerank_model.py

@@ -375,7 +375,19 @@ class QWenRerank(Base):
 
         import dashscope
 
-        resp = dashscope.TextReRank.call(api_key=self.api_key, model=self.model_name, query=query, documents=texts, top_n=len(texts), return_documents=False)
+        # qwen3-rerank does not support return_documents parameter  
+        if self.model_name.startswith("qwen3-rerank"):  
+            resp = dashscope.TextReRank.call(  
+                api_key=self.api_key, model=self.model_name,  
+                query=query, documents=texts, top_n=len(texts)  
+            )  
+        else:  
+            resp = dashscope.TextReRank.call(  
+                api_key=self.api_key, model=self.model_name,  
+                query=query, documents=texts,  
+                top_n=len(texts), return_documents=False  
+            )  
+
         rank = np.zeros(len(texts), dtype=float)
         if resp.status_code == HTTPStatus.OK:
             try:
@@ -549,4 +561,4 @@ class RAGconRerank(Base):
 
         rank = Base._normalize_rank(rank)
 
-        return rank, token_count
+        return rank, token_count