Feat/store

examples/TCL_rag/config.yaml

@@ -1,33 +1,33 @@
 llm:
   name: openai
-  base_url: "https://api.gptsapi.net/v1"
-  api_key: "sk-2T06b7c7f9c3870049fbf8fada596b0f8ef908d1e233KLY2"
+  base_url: "xxx"
+  api_key: "xxx"
   model: "gpt-4.1-mini"
 
 embedding:
   name: huggingface
-  model_name: "/finance_ML/dataarc_syn_database/model/Qwen/qwen_embedding_0.6B"
+  model_name: "xxx"
   model_kwargs:
     device: "cuda:0"
 
 
 
 store:
   name: faiss
-  folder_path: /data/FinAi_Mapping_Knowledge/chenmingzhen/test_faiss_store
+  folder_path: xxx
 
 
 bm25:
   name: bm25
   k: 10
-  data_path: /data/FinAi_Mapping_Knowledge/chenmingzhen/tog3_backend/TCL/syn_table_data/data_all_clearn_short_chunk_with_caption_desc.json
+  data_path: xxx
 
 retriever:
   name: vectorstore
 
 reranker:
   name: qwen3
-  model_name_or_path: "/finance_ML/dataarc_syn_database/model/Qwen/qwen_reranker_0.6B"
+  model_name_or_path: "xxx"
   device_id: "cuda:0"
 
 dataset:

examples/TCL_rag/test.py

@@ -24,11 +24,8 @@
                 vector_store_config=vector_store_config,
                 bm25_retriever_config=bm25_retriever_config)
 
-    result = rag.invoke("毛细管设计规范按照什么标准",k=50)
+    result = rag.invoke("模块机传感器端子不防呆的改善方案是什么？由哪个部门负责？",k=20)
 
-    result = rag.rerank("毛细管设计规范按照什么标准",result,k=10)
-
-    answer = rag.answer("毛细管设计规范按照什么标准",result)
-
-
-    print(answer)
+    for i in result:
+        print(i)
+        print("-"*100)

rag_factory/Retrieval/Retriever/Retriever_BM25.py

@@ -5,7 +5,7 @@
 from concurrent.futures import ThreadPoolExecutor
 from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence
 from dataclasses import dataclass, field
-
+import uuid
 from pydantic import ConfigDict, Field, model_validator
 
 logger = logging.getLogger(__name__)
@@ -207,7 +207,7 @@ def from_texts(
                     f"与 texts 长度 ({len(texts_list)}) 不匹配"
                 )
         else:
-            ids_list = [None for _ in texts_list]
+            ids_list = [str(uuid.uuid4()) for _ in texts_list]
 
         # 预处理文本
         logger.info(f"正在预处理 {len(texts_list)} 个文本...")