Initial commit

config/settings.py

@@ -0,0 +1,61 @@
+"""Configuration settings for the semantic search POC."""
+
+import os
+from typing import List, Optional
+from pydantic_settings import BaseSettings
+
+
+class Settings(BaseSettings):
+    """Application settings."""
+    
+    # Application
+    APP_NAME: str = "Semantic Search POC"
+    VERSION: str = "0.1.0"
+    DEBUG: bool = True
+    
+    # API
+    API_HOST: str = "localhost"
+    API_PORT: int = 8000
+    API_PREFIX: str = "/api/v1"
+    
+    # Database
+    DATABASE_URL: str = "sqlite:///./data/semantic_search.db"
+    
+    # Vector Store
+    VECTOR_STORE_TYPE: str = "chroma"  # chroma, faiss
+    CHROMA_PERSIST_DIR: str = "./data/embeddings/chroma"
+    FAISS_INDEX_PATH: str = "./data/embeddings/faiss"
+    
+    # Embedding Model
+    EMBEDDING_MODEL: str = "all-MiniLM-L6-v2"
+    EMBEDDING_DIMENSION: int = 384
+    
+    # Entity Extraction
+    SPACY_MODEL: str = "en_core_web_sm"
+    CUSTOM_NER_MODEL: Optional[str] = None
+    
+    # Document Processing
+    MAX_FILE_SIZE: int = 50 * 1024 * 1024  # 50MB
+    ALLOWED_EXTENSIONS: List[str] = [".pdf", ".txt", ".docx", ".xml"]
+    
+    # Search
+    MAX_SEARCH_RESULTS: int = 50
+    SIMILARITY_THRESHOLD: float = 0.2
+    
+    # Directories
+    DATA_DIR: str = "./data"
+    RAW_DATA_DIR: str = "./data/raw"
+    PROCESSED_DATA_DIR: str = "./data/processed"
+    UPLOAD_DIR: str = "./data/uploads"
+    
+    # Logging
+    LOG_LEVEL: str = "INFO"
+    LOG_FILE: str = "./logs/app.log"
+    
+    class Config:
+        env_file = ".env"
+        case_sensitive = True
+
+
+# Global settings instance
+settings = Settings()