Files
03Rag/15vector.py
T
heyong.fu a17c65c4bc feat: rag
2026-05-06 11:35:10 +08:00

20 lines
651 B
Python

# 使用豆包来向量化文本
import os
from volcenginesdkarkruntime import Ark
# 初始化客户端
client = Ark(
# 从环境变量中读取您的方舟API Key
api_key=os.environ.get("ARK_API_KEY", "79b39c58-56db-4d8a-a8f8-84b95fca08db"),
base_url="https://ark.cn-beijing.volces.com/api/v3",
)
response = client.embeddings.create(
model="doubao-embedding-text-240715",
input="Function Calling 是一种将大模型与外部工具和 API 相连的关键功能",
encoding_format="float",
)
# 打印结果
print(f"向量维度: {len(response.data[0].embedding)}")
print(f"前10维向量: {response.data[0].embedding[:10]}")