feat: 使用百炼的嵌入模型服务

app/utils/llm_utils.py

@@ -37,7 +37,7 @@ def create_llama_index_llm(platform_code='huoshan-doubao', temperature=0.5):
   )
 
 
-def create_embeddings(platform_code="huoshan-embedding-240715"):
+def create_embeddings(platform_code="bailian-embedding"):
   """
   创建自定义嵌入模型实例
 

app/utils/milvus_utils.py

@@ -1,3 +1,4 @@
+import asyncio
 from typing import List, Optional
 
 from llama_index.core import Document, VectorStoreIndex
@@ -45,7 +46,9 @@ class MilvusService:
     )
     from llama_index.core.node_parser import HierarchicalNodeParser
     parser = HierarchicalNodeParser.from_defaults(chunk_sizes=[2048, 512, 128])
-    nodes = await parser.aget_nodes_from_documents(documents)
+    # nodes = await parser.aget_nodes_from_documents(documents)
+    # 使用同步方法并包装在 asyncio.to_thread 中
+    nodes = await asyncio.to_thread(parser.get_nodes_from_documents,documents)
     await vector_index.ainsert_nodes(nodes)
     return vector_index