Cybersecurity-Panel

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Cybersecurity-Panel / multi_llm_chatbot_backend /app /llm /embedding_client.py

Deploy brand mark, logo palette, goal-aware starters, and carousel fit.

ffcad5d verified 2 months ago

403 Bytes

from sentence_transformers import SentenceTransformer
from app.config import get_settings

settings = get_settings()

# Using a compact, fast model good for semantic search — model name from config
model = SentenceTransformer(settings.rag.embedding_model)

def get_embedding(text: str) -> list[float]:
    embedding = model.encode(text, convert_to_numpy=True)
    return embedding.tolist()

	from sentence_transformers import SentenceTransformer
	from app.config import get_settings

	settings = get_settings()

	# Using a compact, fast model good for semantic search — model name from config
	model = SentenceTransformer(settings.rag.embedding_model)

	def get_embedding(text: str) -> list[float]:
	embedding = model.encode(text, convert_to_numpy=True)
	return embedding.tolist()