src/embedder.py

import os
from google import genai
from dotenv import load_dotenv

load_dotenv()
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])

EMBED_MODEL = "gemini-embedding-001"


def embed_texts(texts: list[str]) -> list[list[float]]:
    """Embed list văn bản, trả về list vectors."""
    result = client.models.embed_content(
        model=EMBED_MODEL,
        contents=texts,
    )
    return [e.values for e in result.embeddings]


def embed_query(query: str) -> list[float]:
    """Embed câu hỏi."""
    result = client.models.embed_content(
        model=EMBED_MODEL,
        contents=query,
    )
    return result.embeddings[0].values