使用TextLoader自动监测文件编码 直接看文档的示例 HTML How to load HTML | ️ LangChain 解析HTML 文件通常需要专门的工具。这里我们演示了如何通过Unstructured和BeautifulSoup4进行解析,它们可以通过 pip 安装。 UnstructuredHTMLLoader from langchain_community.document_loaders import UnstructuredHTMLLoader file_path ...
接着,加载文档,将其分割成块,嵌入每个块并将其加载到向量存储中。 raw_documents = TextLoader("test_text.txt", encoding='utf-8').load() text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) documents = text_splitter.split_documents(raw_documents) 注意:如果是中文文本需要指定编码...
from langchain.text_splitterimportCharacterTextSplitter from langchain_community.document_loadersimportTextLoader # 设置代理访问APIos.environ["HTTP_PROXY"]="http://127.0.0.1:33210"os.environ["HTTPS_PROXY"]="http://127.0.0.1:33210"os.environ["ALL_PROXY"]="socks5://127.0.0.1:33211"# 加载文档 ...
walk(root_dir): # Go through each file for file in filenames: try: # Load up the file as a doc and split loader = TextLoader(os.path.join(dirpath, file), encoding='utf-8') docs.extend(loader.load_and_split()) except Exception as e: pass 代码语言:javascript 代码运行次数:0 ...
1. TextLoader:最基础的文本加载器 fromlangchain_community.document_loadersimportTextLoader loader = TextLoader("./example.txt", encoding="utf-8") documents = loader.load()# 输出示例# Document(page_content='文件内容', metadata={'source': './example.txt'}) ...
#fromlangchain.document_loaders import TextLoaderfromlangchain_community.document_loaders import TextLoaderfromlangchain_community.llms import Tongyi import os import openai import warnings warnings.filterwarnings('ignore', category=FutureWarning) os.environ['OPENAI_API_KEY'] ='sk-***'os.environ['OPENAI...
loader = TextLoader('doc/state_of_the_union.txt',encoding='utf-8') documents = loader.load() # 用于将长文本拆分成较小的段,便于嵌入和大模型处理。 # 每个文本块的最大长度是1000个字符,拆分的文本块之间没有重叠部分。 text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap...
1. TextLoader:最基础的文本加载器 from langchain_community.document_loaders import TextLoader loader = TextLoader("./example.txt", encoding="utf-8") documents = loader.load() # 输出示例 # Document(page_content='文件内容', metadata={'source': './example.txt'}) 1. 2. 3. 4. 5. 6. 7...
注意:TextLoader不会像UnstructuredLoader那样解析Markdown标题。 加载Python源代码 如果你的目的是解析Python代码文件,这里有专门的PythonLoader: from langchain_community.document_loaders import PythonLoader loader = DirectoryLoader("../../../../../", glob="**/*.py", loader_cls=PythonLoader) docs =...
(chunk_size=1024,chunk_overlap=256)documents=TextLoader("/path/to/document.md",encoding='utf-8').load()chunks=text_spliter.split_documents(documents)print(chunks)os.environ['HF_ENDPOINT']='https://hf-mirror.com'fromlangchain_huggingfaceimportHuggingFaceEmbeddingsfromlangchain_community.vectorstores...