Nebius 集成

import os
os.environ["NEBIUS_API_KEY"] = "YOUR-NEBIUS-API-KEY"

from langchain_nebius import ChatNebius

# 初始化聊天模型
chat = ChatNebius(
    model="moonshotai/Kimi-K2.5",  # 从可用模型中选择
    temperature=0.6,
    top_p=0.95
)

from langchain_nebius import NebiusEmbeddings

# 初始化嵌入
embeddings = NebiusEmbeddings(
    model="Qwen/Qwen3-Embedding-8B"  # 默认嵌入模型
)

from langchain_core.documents import Document
from langchain_nebius import NebiusEmbeddings, NebiusRetriever

# 创建示例文档
docs = [
    Document(page_content="Paris is the capital of France"),
    Document(page_content="Berlin is the capital of Germany"),
]

# 初始化嵌入
embeddings = NebiusEmbeddings()

# 创建检索器
retriever = NebiusRetriever(
    embeddings=embeddings,
    docs=docs,
    k=2  # 返回的文档数量
)

from langchain_nebius import NebiusEmbeddings, NebiusRetriever, NebiusRetrievalTool
from langchain_core.documents import Document

# 创建示例文档
docs = [
    Document(page_content="Paris is the capital of France and has the Eiffel Tower"),
    Document(page_content="Berlin is the capital of Germany and has the Brandenburg Gate"),
]

# 创建嵌入和检索器
embeddings = NebiusEmbeddings()
retriever = NebiusRetriever(embeddings=embeddings, docs=docs)

# 创建检索工具
tool = NebiusRetrievalTool(
    retriever=retriever,
    name="nebius_search",
    description="Search for information about European capitals"
)