# The Llama Cloud API key.
LLAMA_CLOUD_API_KEY=

# The provider for the AI models to use.
MODEL_PROVIDER=openai

# The name of LLM model to use.
MODEL=gpt-3.5-turbo

# Name of the embedding model to use.
EMBEDDING_MODEL=text-embedding-3-large

# Dimension of the embedding model to use.
EMBEDDING_DIM=1024

# The OpenAI API key to use.
OPENAI_API_KEY=

# Temperature for sampling from the model.
# LLM_TEMPERATURE=

# Maximum number of tokens to generate.
# LLM_MAX_TOKENS=

# The number of similar embeddings to return when retrieving documents.
TOP_K=3

# Custom system prompt.
# Example:
# SYSTEM_PROMPT="You are a helpful assistant who helps users with their questions."
# SYSTEM_PROMPT=

# Configuration for Pinecone vector store
# The Pinecone API key.
# PINECONE_API_KEY=

# PINECONE_ENVIRONMENT=

# PINECONE_INDEX_NAME=

# The address to start the backend app.
APP_HOST=0.0.0.0

# The port to start the backend app.
APP_PORT=8000

# Postgres database configuration
POSTGRES_USER=postgres
POSTGRES_PASSWORD=postgres
POSTGRES_DB_NAME=postgres
POSTGRES_DB_HOST=localhost
POSTGRES_DB_PORT=5432
SQLALCHEMY_DATABASE_URL=postgresql+asyncpg://${POSTGRES_USER}:${POSTGRES_PASSWORD}@${POSTGRES_DB_HOST}:${POSTGRES_DB_PORT}/${POSTGRES_DB_NAME}