src/config.py

"""Configuration settings for the ingestion pipeline"""

# Default ingestion settings
DEFAULT_CHUNK_SIZE = 1000
DEFAULT_OVERLAP = 200
RANDOM_SEED = 42

# Supported file formats
SUPPORTED_FORMATS = {".txt", ".md", ".markdown"}

# Corpus directory
CORPUS_DIRECTORY = "synthetic_policies"

# Vector Database Settings
VECTOR_DB_PERSIST_PATH = "data/chroma_db"
COLLECTION_NAME = "policy_documents"
EMBEDDING_DIMENSION = 384  # sentence-transformers/all-MiniLM-L6-v2
SIMILARITY_METRIC = "cosine"

# Embedding Model Settings
EMBEDDING_MODEL_NAME = "sentence-transformers/all-MiniLM-L6-v2"
EMBEDDING_BATCH_SIZE = 32
EMBEDDING_DEVICE = "cpu"  # Use CPU for free tier compatibility

# Search Settings
DEFAULT_TOP_K = 5
MAX_TOP_K = 20
MIN_SIMILARITY_THRESHOLD = 0.3