Lars
a58856fa00
All checks were successful
Deploy mindnet to llm-node / deploy (push) Successful in 5s
21 lines
684 B
Python
21 lines
684 B
Python
|
|
from __future__ import annotations
|
|
import os
|
|
from functools import lru_cache
|
|
|
|
class Settings:
|
|
# Qdrant
|
|
QDRANT_URL: str = os.getenv("QDRANT_URL", "http://127.0.0.1:6333")
|
|
QDRANT_API_KEY: str | None = os.getenv("QDRANT_API_KEY")
|
|
COLLECTION_PREFIX: str = os.getenv("MINDNET_PREFIX", "mindnet")
|
|
VECTOR_SIZE: int = int(os.getenv("MINDNET_VECTOR_SIZE", "384"))
|
|
DISTANCE: str = os.getenv("MINDNET_DISTANCE", "Cosine")
|
|
# Embeddings
|
|
MODEL_NAME: str = os.getenv("MINDNET_MODEL", "sentence-transformers/all-MiniLM-L6-v2")
|
|
# API
|
|
DEBUG: bool = os.getenv("DEBUG", "false").lower() == "true"
|
|
|
|
@lru_cache
|
|
def get_settings() -> Settings:
|
|
return Settings()
|