chore: 添加虚拟环境到仓库

- 添加 backend_service/venv 虚拟环境
- 包含所有Python依赖包
- 注意：虚拟环境约393MB，包含12655个文件

backend_service/venv/lib/python3.13/site-packages/chromadb/server/fastapi/types.py

@@ -0,0 +1,78 @@
+from pydantic import BaseModel
+from typing import Any, Dict, List, Optional
+from chromadb.api.types import (
+    CollectionMetadata,
+    Include,
+    IncludeMetadataDocuments,
+    IncludeMetadataDocumentsDistances,
+)
+
+
+class AddEmbedding(BaseModel):
+    # Pydantic doesn't handle Union types cleanly like Embeddings which has
+    # Union[int, float] so we use Any here to ensure data is parsed
+    # to its original type.
+    embeddings: Optional[List[Any]] = None
+    metadatas: Optional[List[Optional[Dict[Any, Any]]]] = None
+    documents: Optional[List[Optional[str]]] = None
+    uris: Optional[List[Optional[str]]] = None
+    ids: List[str]
+
+
+class UpdateEmbedding(BaseModel):
+    embeddings: Optional[List[Any]] = None
+    metadatas: Optional[List[Optional[Dict[Any, Any]]]] = None
+    documents: Optional[List[Optional[str]]] = None
+    uris: Optional[List[Optional[str]]] = None
+    ids: List[str]
+
+
+class QueryEmbedding(BaseModel):
+    # TODO: Pydantic doesn't bode well with recursive types so we use generic Dicts
+    # for Where and WhereDocument. This is not ideal, but it works for now since
+    # there is a lot of downstream validation.
+    where: Optional[Dict[Any, Any]] = None
+    where_document: Optional[Dict[Any, Any]] = None
+    query_embeddings: List[Any]
+    n_results: int = 10
+    include: Include = IncludeMetadataDocumentsDistances
+
+
+class GetEmbedding(BaseModel):
+    ids: Optional[List[str]] = None
+    where: Optional[Dict[Any, Any]] = None
+    where_document: Optional[Dict[Any, Any]] = None
+    limit: Optional[int] = None
+    offset: Optional[int] = None
+    include: Include = IncludeMetadataDocuments
+
+
+class DeleteEmbedding(BaseModel):
+    ids: Optional[List[str]] = None
+    where: Optional[Dict[Any, Any]] = None
+    where_document: Optional[Dict[Any, Any]] = None
+
+
+class CreateCollection(BaseModel):
+    name: str
+    # TODO: Make CollectionConfiguration a Pydantic model
+    # In 0.5.4 we added the configuration field to the CreateCollection model
+    # This field is optional, for backwards compatibility with older versions
+    # we default to None.
+    configuration: Optional[Dict[str, Any]] = None
+    metadata: Optional[CollectionMetadata] = None
+    get_or_create: bool = False
+
+
+class UpdateCollection(BaseModel):
+    new_name: Optional[str] = None
+    new_metadata: Optional[CollectionMetadata] = None
+    new_configuration: Optional[Dict[str, Any]] = None
+
+
+class CreateDatabase(BaseModel):
+    name: str
+
+
+class CreateTenant(BaseModel):
+    name: str