Upstage

Upstage 是一家专注于提供超人类级性能的大规模语言模型（LLM）组件的人工智能（AI）公司。

Solar Pro是针对单GPU部署优化的企业级LLM，擅长指令跟随和处理HTML和Markdown等结构化格式。它支持英语、韩语和日语，并提供金融、医疗保健和法律领域的专业知识，具有顶级的多语言性能。

除了Solar之外，Upstage还提供了用于现实世界RAG（检索增强生成）的功能，如文档解析和相关性检查。

Upstage LangChain集成

API	描述	导入	示例用法
Chat	Build assistants using Solar Chat	from langchain_upstage import ChatUpstage	Go
Text Embedding	Embed strings to vectors	from langchain_upstage import UpstageEmbeddings	Go
Groundedness Check	Verify groundedness of assistant's response	from langchain_upstage import UpstageGroundednessCheck	Go
Document Parse	Serialize documents with tables and figures	from langchain_upstage import UpstageDocumentParseLoader	Go

有关模型和功能的更多详细信息，请参阅 文档。

安装与设置

安装 langchain-upstage 个包:

pip install -qU langchain-core langchain-upstage

获取 API密钥 并设置环境变量 UPSTAGE_API_KEY。

import os

os.environ["UPSTAGE_API_KEY"] = "YOUR_API_KEY"

聊天模型

Solar LLM

见一个使用示例。

from langchain_upstage import ChatUpstage

chat = ChatUpstage()
response = chat.invoke("Hello, how are you?")
print(response)

API 参考:ChatUpstage

嵌入模型

见一个使用示例。

from langchain_upstage import UpstageEmbeddings

embeddings = UpstageEmbeddings(model="solar-embedding-1-large")
doc_result = embeddings.embed_documents(
    ["Sung is a professor.", "This is another document"]
)
print(doc_result)

query_result = embeddings.embed_query("What does Sung do?")
print(query_result)

API 参考:UpstageEmbeddings

文档加载器

文档解析​

见一个使用示例。

from langchain_upstage import UpstageDocumentParseLoader

file_path = "/PATH/TO/YOUR/FILE.pdf"
layzer = UpstageDocumentParseLoader(file_path, split="page")

# For improved memory efficiency, consider using the lazy_load method to load documents page by page.
docs = layzer.load()  # or layzer.lazy_load()

for doc in docs[:3]:
    print(doc)

API 参考:UpstageDocumentParseLoader

工具

地基检查

见一个使用示例。

from langchain_upstage import UpstageGroundednessCheck

groundedness_check = UpstageGroundednessCheck()

request_input = {
    "context": "Mauna Kea is an inactive volcano on the island of Hawaii. Its peak is 4,207.3 m above sea level, making it the highest point in Hawaii and second-highest peak of an island on Earth.",
    "answer": "Mauna Kea is 5,207.3 meters tall.",
}
response = groundedness_check.invoke(request_input)
print(response)

API 参考:UpstageGroundednessCheck