from langchain.text_splitter import MarkdownHeaderTextSplitter markdown_document = "# Foo\n\n ## Bar\n\nHi this is Jim\n\nHi this is Joe\n\n ### Boo \n\n Hi this is Lance \n\n ## Baz\n\n Hi this is Molly" headers_to_split_on = [ ("#", "Header 1"), ("##", "He...
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from langchain.text_splitter import CharacterTextSplitter # 初始字符串 state_of_the_union = "..." text_splitter = CharacterTextSplitter( separator = "\\n\\n", chunk_size = 1000, chunk_overlap = 200, length_function = len, ) texts = text_splitter.create_documents([state_of_the_union]...
from langchain.text_splitter import RecursiveCharacterTextSplitter import pandas as pd text_splitter = RecursiveCharacterTextSplitter( chunk_size=100, chunk_overlap=20, length_function=len, ) texts = text_splitter.create_documents([article_text]) print(texts[1]) # 分割后的文本块还是document对象,需...
# 创建Promptprompt = ChatPromptTemplate.from_template('基于上下文:{context}\n回答:{input}') # 创建输出解析器output_parser = StrOutputParser() # 模拟文档docs = [Document(page_content="TuGraph是蚂蚁开源的图数据库产品")] # 文档嵌入splits = RecursiveCharacterTextSplitter().split_documents(docs)ve...
import { MemoryVectorStore } from "langchain/vectorstores/memory"; import { OpenAIEmbeddings } from "langchain/embeddings/openai"; import { TextLoader } from "langchain/document_loaders/fs/text"; // Create docs with a loader const loader = new TextLoader("src/document_loaders/example_data/exa...
from langchain.text_splitter import CharacterTextSplitter # 初始字符串 state_of_the_union = "..." text_splitter = CharacterTextSplitter( separator = "\\n\\n", chunk_size = 1000, chunk_overlap = 200, length_function = len, ) texts = text_splitter.create_documents([state_of_the_union]...
fromlangchain.document_loaders import UnstructuredFileLoaderfromlangchain.chains.summarize import load_summarize_chainfromlangchain.text_splitter import RecursiveCharacterTextSplitterfromlangchain import OpenAI # 导入文本 loader= UnstructuredFileLoader("/content/sample_data/data/lg_test.txt") ...
fromlangchain.llmsimportOpenAI #Hereweareusingtext-ada-001butyoucanchangeit llm=OpenAI(model_name="text-ada-001",n=2,best_of=2) #Askanything llm("Tellmeajoke") 输出1: ' Whydidthechickencrosstheroad? Togettotheotherside.' 案例2:
Document Loaders(文档加载器) 这些就像是一个个小仓库,帮助你的乐高世界中的智能模型存储和访问信息。Document Loaders能够将文档加载到系统中,方便模型快速查找。 Text Splitters(文本分割器) 有时候你需要将一大块乐高板分成几个小块来构建更复杂的结构。Text Splitters可以将长篇文本拆分成易于处理的小块。 Vector ...