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19 lines
682 B
Python
19 lines
682 B
Python
from __future__ import annotations
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import os
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from functools import lru_cache
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class Settings:
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# Qdrant
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QDRANT_URL: str = os.getenv("QDRANT_URL", "http://127.0.0.1:6333")
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QDRANT_API_KEY: str | None = os.getenv("QDRANT_API_KEY")
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COLLECTION_PREFIX: str = os.getenv("MINDNET_PREFIX", "mindnet")
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VECTOR_SIZE: int = int(os.getenv("MINDNET_VECTOR_SIZE", "384"))
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DISTANCE: str = os.getenv("MINDNET_DISTANCE", "Cosine")
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# Embeddings
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MODEL_NAME: str = os.getenv("MINDNET_MODEL", "sentence-transformers/all-MiniLM-L6-v2")
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# API
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DEBUG: bool = os.getenv("DEBUG", "false").lower() == "true"
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@lru_cache
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def get_settings() -> Settings:
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return Settings() |