如果已经安装了Python，但是reticulate找不到它，可以使用命令use_Python（“/path/to/your/Python”）。复制 library(reticulate)virtualenv_create(envname = "langchain_env", packages = c( "langchain", "openai", "pypdf", "bs4", "python-dotenv", "chromadb", "tiktoken")) # Only do this once...
接下来是Python代码,将该文件导入为包含内容和元数据的LangChain文档对象。将为此创建一个名为prep_docs.py的新Python脚本文件。可以像上面那样使用py_run_string()函数在R脚本中继续运行Python代码。然而,如果用户正在处理一个更大的任务,那么就不太理想,因为将会在诸如代码完成之类的事项上面临失败。 Python新手的关...
PYTHON, chunk_size=50, chunk_overlap=0 ) python_docs = python_splitter.create_documents([PYTHON_CODE]) python_docs """ [Document(page_content='def hello_world():\n print("Hello, World!")', metadata={}), Document(page_content='# Call the function\nhello_world()', metadata={})] "...
这样就不需要担心提示工程输出格式的问题了,将这部分完全交给 Lang Chain 来执行,将LLM的输出转化为 python 对象。 # 解析输出并获取结构化的数据 from langchain.output_parsers import StructuredOutputParser, ResponseSchema response_schemas = [ ResponseSchema(name="artist", description="The name of the music...
Similarly, a thermostat allows us to control the temperature in our home without needing to understand the complex circuitry this entails—we only need to know how different thermostat settings translate to different temperatures. LangChain is essentially a library of abstractions for Python and ...
LangGraph is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic...
NotificationsYou must be signed in to change notification settings Fork16.5k Star102k master BranchesTags Code 🦜️🔗 LangChain ⚡ Build context-aware reasoning applications ⚡ Looking for the JS/TS library? Check outLangChain.js.
transformers: HuggingFace transformers library with backends in JAX, PyTorch and TensorFlow (4.32.0) datasets: 社区驱动的开源数据集库 (2.14.4) sentencepiece: 快速标记化的 Python 包装器 (0.1.99) wandb: 用于监视 Weights and Biases(W&B)训练进度的工具 (0.15.8) ...
But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge. This library is aimed at assisting in the development of those types of applications. Common examples of ...
spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython. Another alternative to NLTK is to use spaCy tokenizer. from langchain.text_splitter import SpacyTextSplitter text_splitter = SpacyTextSplitter(chunk_size=200) text...