upgrade milvus parallel embed usage

docs/en/Best Practice/rag.md

@@ -42,15 +42,15 @@ docs = Document()
 
 # (1)
 docs.create_node_group(name='block',
-                       transform=lambda d: '\n'.split(d))
+                       transform=lambda d: d.split('\n'))
 
 # (2)
 docs.create_node_group(name='doc-summary',
                        transform=lambda d: summary_llm(d))
 
 # (3)
 docs.create_node_group(name='sentence',
-                       transform=lambda b: '。'.split(b),
+                       transform=lambda b: b.split('。'),
                        parent='block')
 
 # (4)

docs/zh/Best Practice/rag.md

@@ -42,15 +42,15 @@ docs = Document()
 
 # (1)
 docs.create_node_group(name='block',
-                       transform=lambda d: '\n'.split(d))
+                       transform=lambda d: d.split('\n'))
 
 # (2)
 docs.create_node_group(name='doc-summary',
                        transform=lambda d: summary_llm(d))
 
 # (3)
 docs.create_node_group(name='sentence',
-                       transform=lambda b: '。'.split(b),
+                       transform=lambda b: b.split('。'),
                        parent='block')
 
 # (4)

lazyllm/tools/rag/data_loaders.py

@@ -24,6 +24,6 @@ def load_data(self, input_files: Optional[List[str]] = None, metadates: Optional
             nodes.append(doc)
         if not nodes:
             LOG.warning(
-                f"No nodes load from path {self.input_files}, please check your data path."
+                f"No nodes load from path {input_files}, please check your data path."
             )
         return nodes

lazyllm/tools/rag/milvus_store.py

@@ -1,4 +1,5 @@
 import copy
+from collections import defaultdict
 from typing import Dict, List, Optional, Union, Callable, Set
 from lazyllm.thirdparty import pymilvus
 from .doc_node import DocNode
@@ -12,6 +13,8 @@
 from .data_type import DataType
 from lazyllm.common import override, obj2str, str2obj
 
+MILVUS_UPSERT_BATCH_SIZE = 500
+
 class MilvusStore(StoreBase):
     # we define these variables as members so that pymilvus is not imported until MilvusStore is instantiated.
     def _def_constants(self) -> None:
@@ -156,13 +159,14 @@ def __init__(self, group_embed_keys: Dict[str, Set[str]], embed: Dict[str, Calla
 
     @override
     def update_nodes(self, nodes: List[DocNode]) -> None:
+        parallel_do_embedding(self._embed, [], nodes, self._group_embed_keys)
+        group_embed_dict = defaultdict(list)
         for node in nodes:
-            embed_keys = self._group_embed_keys.get(node._group)
-            if embed_keys:
-                parallel_do_embedding(self._embed, embed_keys, [node])
             data = self._serialize_node_partial(node)
-            self._client.upsert(collection_name=node._group, data=[data])
-
+            group_embed_dict[node._group].append(data)
+        for group_name, data in group_embed_dict.items():
+            for i in range(0, MILVUS_UPSERT_BATCH_SIZE, len(data)):
+                self._client.upsert(collection_name=group_name, data=data[i:i + MILVUS_UPSERT_BATCH_SIZE])
         self._map_store.update_nodes(nodes)
 
     @override

lazyllm/tools/rag/transform.py

@@ -401,7 +401,7 @@ def transform(self, node: DocNode, **kwargs) -> List[Union[str, DocNode]]:
 
 You should not have any unnecessary output. Lets begin:
 """),
-    cn=dict(summary="""
+    zh=dict(summary="""
 ## 角色：文本摘要
 你是一个文本摘要引擎，负责分析用户输入的文本，并根据请求任务提供简洁的摘要。
 

lazyllm/tools/rag/utils.py

@@ -681,11 +681,15 @@ def save_files_in_threads(
 
 # returns a list of modified nodes
 def parallel_do_embedding(embed: Dict[str, Callable], embed_keys: Optional[Union[List[str], Set[str]]],
-                          nodes: List[DocNode]) -> List[DocNode]:
+                          nodes: List[DocNode], group_embed_keys: Dict[str, List[str]] = None) -> List[DocNode]:
     modified_nodes = []
     with ThreadPoolExecutor(config["max_embedding_workers"]) as executor:
         futures = []
         for node in nodes:
+            if group_embed_keys:
+                embed_keys = group_embed_keys.get(node._group)
+                if not embed_keys:
+                    continue
             miss_keys = node.has_missing_embedding(embed_keys)
             if not miss_keys:
                 continue