向量嵌入

from openai import OpenAI
import os

client = OpenAI(
    api_key="sk-***", # 替換為您在 AIHUBMIX 控制台生成的密鑰
    base_url="https://aihubmix.com/v1"
)

response = client.embeddings.create(
    input="Your text string goes here",
    model="gemini-embedding-001"
)

print(response.data[0].embedding)

from openai import OpenAI
import os

client = OpenAI(
    api_key="sk-***", # 替換為您在 AIHUBMIX 控制台生成的密鑰
    base_url="https://aihubmix.com/v1"
)

# 讀取文件
def read_whimery_file():
    try:
        with open('yourpath/file.md', 'r', encoding='utf-8') as file:
            return file.read()
    except Exception as e:
        print(f"讀取文件錯誤: {e}")
        return None

# 讀取內容並建立嵌入
content = read_whimery_file()
if content:
    response = client.embeddings.create(
        input=content,
        model="gemini-embedding-001"
    )
    
    print("文件內容已成功處理為嵌入")
    print(f"嵌入維度: {len(response.data[0].embedding)}")
    print("前10個嵌入值:", response.data[0].embedding[:10])
else:
    print("讀取文件內容失敗")