RAG-Project/app/core/settings.py at main · sumitaryal/RAG-Project · GitHub

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from pydantic_settings import BaseSettings
from qdrant_client.models import (
    SparseVectorParams,
    SparseIndexParams,
    VectorParams,
    Distance,
)


class Settings(BaseSettings):
    # FastAPI settings
    API_V1_STR: str
    PROJECT_NAME: str

    # Gemini settings
    GEMINI_API_KEY: str
    OCR_MODEL: str
    GEMINI_MAX_CONCURRENT_REQUESTS: int
    GEMINI_MAX_ATTEMPTS: int

    # Database settings
    ASYNC_DATABASE_URL: str
    SYNC_DATABASE_URL: str

    # Hugging Face settings
    HF_DENSE_EMBEDDINGS_MODEL: str
    HF_DENSE_EMBEDDINGS_DIMENSION: int
    HF_DENSE_EMBEDDINGS_MAX_LENGTH: int
    HF_SPARSE_EMBEDDINGS_MODEL: str

    # Qdrant settings
    QDRANT_HOST: str
    QDRANT_PORT: int
    QDRANT_COLLECTION_NAME: str
    QDRANT_TIMEOUT: int

    @property
    def sparse_vector_config(self) -> SparseVectorParams:
        return SparseVectorParams(
            index=SparseIndexParams(on_disk=False)
        )

    @property
    def dense_vector_config(self) -> VectorParams:
        return VectorParams(
            size=self.HF_DENSE_EMBEDDINGS_DIMENSION, distance=Distance.COSINE
        )

    # Retrieval settings
    DENSE_RETRIEVAL_K: int
    SPARSE_RETRIEVAL_K: int
    HYBRID_RETRIEVAL_K: int
    HYBRID_RETRIEVAL_ALPHA: float
    RRF_K: int

    class Config:
        env_file = ".env"


settings = Settings()