chore:v0.5.8 tag (#1632)

dbgpt/rag/embedding/embeddings.py

@@ -294,7 +294,7 @@ class HuggingFaceBgeEmbeddings(BaseModel, Embeddings):
         kwargs["client"] = sentence_transformers.SentenceTransformer(
             kwargs.get("model_name"),
             cache_folder=kwargs.get("cache_folder"),
-            **kwargs.get("model_kwargs"),
+            **(kwargs.get("model_kwargs") or {}),
         )
 
         super().__init__(**kwargs)

dbgpt/rag/embedding/rerank.py

@@ -17,7 +17,7 @@ class CrossEncoderRerankEmbeddings(BaseModel, RerankEmbeddings):
 
     client: Any  #: :meta private:
     model_name: str = "BAAI/bge-reranker-base"
-    max_length: int
+    max_length: int = None    # type: ignore
     """Max length for input sequences. Longer sequences will be truncated. If None, max
         length of the model will be used"""
     """Model name to use."""