项目中遇到各种数据资源想要加载近langchain构建本地知识ai系统，怎么加载对应的文件格式呢，一起研究下

引入Langchain

from langchain.document_loaders import UnstructuredWordDocumentLoader,PyPDFium2Loader,DirectoryLoader,PyPDFLoader,TextLoader import os

pdf文件加载

def load_pdf(directory_path):     data = []     for filename in os.listdir(directory_path):         if filename.endswith(".pdf"):             print(filename)             # print the file name             loader = PyPDFium2Loader(f'{directory_path}/{filename}')             print(loader)             data.append(loader.load())     return data

word文档加载如，doc或者docx格式

def load_word(directory_path):     data = []     for filename in os.listdir(directory_path):         # check if the file is a doc or docx file         # 检查所有doc以及docx后缀的文件         if filename.endswith(".doc") or filename.endswith(".docx"):             # langchain自带功能，加载word文档             loader = UnstructuredWordDocumentLoader(f'{directory_path}/{filename}')             data.append(loader.load())      return data

txt加载

def load_txt(directory_path):     data = []     for filename in os.listdir(directory_path):         if filename.endswith(".txt"):             print(filename)             loader = TextLoader(f'{directory_path}/{filename}')             print(loader)             data.append(loader.load())      return data

上述中常见的文档格式基本上都可以加载进去了，主要就是不同格式对应不同的加载方式，如果想简单也可以直接加载目录

def load_docs(directory):     loader = DirectoryLoader(directory)     documents = loader.load()     return documents