孩子们，知识库的高并发太恐怖了

scripts/lpmm_learning_tool.py

@@ -204,7 +204,7 @@ def extract_information(paragraphs_dict, model_set):
 
     failed_hashes, open_ie_docs = [], []
 
-    with ThreadPoolExecutor(max_workers=5) as executor:
+    with ThreadPoolExecutor(max_workers=3) as executor:
         f_to_hash = {
             executor.submit(extract_info_sync, p_hash, p, model_set): p_hash
             for p_hash, p in paragraphs_dict.items()

src/chat/knowledge/embedding_store.py

@@ -30,8 +30,8 @@ from .utils.hash import get_sha256
 install(extra_lines=3)
 
 # 多线程embedding配置常量
-DEFAULT_MAX_WORKERS = 10  # 默认最大线程数
-DEFAULT_CHUNK_SIZE = 10  # 默认每个线程处理的数据块大小
+DEFAULT_MAX_WORKERS = 3  # 默认最大线程数
+DEFAULT_CHUNK_SIZE = 5  # 默认每个线程处理的数据块大小
 MIN_CHUNK_SIZE = 1  # 最小分块大小
 MAX_CHUNK_SIZE = 50  # 最大分块大小
 MIN_WORKERS = 1  # 最小线程数