对于macOS和Linux用户,你可以使用终端(Terminal)。 输入安装命令: 在命令行界面中,输入以下命令来安装 langchain-core: bash pip install langchain-core 执行命令并等待安装完成: 按下回车键执行上述命令,pip将会从Python包索引(PyPI)下载并安装 langchain-core 及其依赖项。安装过程可能需要一些时间,具体取决于你...
LangChain Core also contains LangChain Expression Language, or LCEL, a runtime that allows users to compose arbitrary sequences together and get several benefits that are important when building LLM applications. We call these sequences “runnables”. ...
importlangchain_core# 假设这是您的NLP库 defprocess_text_stream(text_stream): # 假设text_stream是一个生成器,它产生一系列的文本片段 fortextintext_stream: # 对每个文本片段进行处理 # 例如,分词 tokens = langchain_core.tokenize(text) # 或者情感分析 sentiment = langchain_core.analyze_sentiment(tex...
/langchain-core/ /langchain-core/ callbacks/ folder 432 B dist/ folder 1.05 MB language_models/ folder 486 B load/ folder 146 B tracers/ folder 1.07 kB utils/ folder 1.08 kB LICENSE text/plain 1.07 kB README.md text/markdown 17 B agents.cjs application/node 46 B agents.d.ts applicat...
为了解决这个问题,LangChain 核心团队决定对系统进行模块化拆分,其中最关键的举措是将 LangChain 的核心运行时逻辑和关键抽象接口剥离出一个名为langchain-core的新的核心类库。这个类库会包含诸如 LLM 抽象接口,向量存储抽象接口,检索器接口等等非常核心的组件。另外还会包含 LangChain 中的 LCEL、链式调用逻辑,以及复...
{'lc': 1, 'type': 'not_implemented', 'id': ['langchain_core', 'tools', 'StructuredTool'], 'repr': 'StructuredTool(name=\'f\', description="Takes {\'title\': \'FSchema\', \'description\': \'Apply a function to an integer and list of integers.\', \'type\': \'object\...
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由于langchain_core和langchain相对路径问题，无法导入create_pandas_pandemrame_agent我在使用Python 3.10...
from langchain_core.runnables import RunnableLambda # A RunnableSequence constructed using the `|` operator sequence = RunnableLambda(lambda x: x + 1) | RunnableLambda(lambda x: x * 2) sequence.invoke(1) # 4 sequence.batch([1, 2, 3]) # [4, 6, 8] # A sequence that contains a ...
langchain版本：0.2.1 langchain-core版本：0.2.3 langgraph版本：0.0.59 langchain-community版本...