.env.example

# Neo4j Connection
NEO4J_URI=neo4j://localhost:7687
NEO4J_USERNAME=neo4j
NEO4J_PASSWORD=your_password_here

# LLM Configuration (required)
ANTHROPIC_API_KEY=your_anthropic_key_here
LLM_PROVIDER=anthropic
LLM_MODEL=claude-3-5-sonnet-20241022

# Embeddings Configuration (OPTIONAL - only for vector/semantic search)
# Core GraphRAG and GEO features work WITHOUT embeddings!
# Leave commented unless you need semantic similarity search

# Option 1: No embeddings (recommended for testing)
# EMBEDDING_PROVIDER=none

# Option 2: OpenAI embeddings (no heavy torch/CUDA install)
# OPENAI_API_KEY=your_openai_key_here
# EMBEDDING_PROVIDER=openai
# EMBEDDING_MODEL=text-embedding-3-small
# VECTOR_INDEX_DIMENSION=1536

# Option 3: Local embeddings (requires: pip install -e ".[embeddings]")
# WARNING: This installs torch, CUDA - several GB download!
# EMBEDDING_PROVIDER=sentence-transformers
# EMBEDDING_MODEL=all-MiniLM-L6-v2
# VECTOR_INDEX_DIMENSION=384

# Application Settings
GEO_TEMPLATES_DIR=./data/templates
GEO_SUBMISSIONS_DIR=./data/submissions
LOG_LEVEL=INFO
LOG_FILE=./chatseek.log

# Vector Index Settings
VECTOR_INDEX_DIMENSION=384  # For sentence-transformers all-MiniLM-L6-v2
# VECTOR_INDEX_DIMENSION=1536  # For OpenAI text-embedding-3-small