env_example.txt

# EPIC Search System Environment Variables
# Copy this file to the root directory as .env.example and update with your actual values

# Database Configuration
DB_USERNAME=postgres
DB_PASSWORD=password
DB_NAME=postgres
DB_PORT=5432

# Model Configuration
MODEL_NAME=qwen2.5
MODEL_VERSION=0.5b
OLLAMA_PORT=11434

# Vector API Configuration
FLASK_ENV=development
VECTOR_TABLE=document_tags
EMBEDDING_DIMENSIONS=768
KEYWORD_FETCH_COUNT=100
SEMANTIC_FETCH_COUNT=100
TOP_RECORD_COUNT=10
RERANKER_BATCH_SIZE=8
CROSS_ENCODER_MODEL=cross-encoder/ms-marco-MiniLM-L-2-v2
EMBEDDING_MODEL_NAME=all-mpnet-base-v2
KEYWORD_MODEL_NAME=all-mpnet-base-v2
PRELOAD_MODELS=true
MIN_RELEVANCE_SCORE=-8.0
VECTOR_API_PORT=3300

# Search API Configuration
CORS_ORIGIN=*
SEARCH_API_PORT=3200

# S3 Storage Configuration (Required - Update with actual values)
S3_BUCKET_NAME=your-bucket-name
S3_ACCESS_KEY_ID=your-access-key-id
S3_SECRET_ACCESS_KEY=your-secret-access-key
S3_REGION=us-east-1
S3_ENDPOINT_URI=https://nrs.objectstore.gov.bc.ca

# LLM Configuration
LLM_PROVIDER=ollama
LLM_TEMPERATURE=0.3
LLM_MAX_TOKENS=1000
LLM_MAX_CONTEXT_LENGTH=8192
LLM_MODEL=qwen2.5:0.5b