# Configuration

Configuration is done through the use of environment variables.

## File Monitoring

Set directories to monitor for automatic indexing:

```bash
# Monitor single directory
MONITOR_DIRECTORIES="/path/to/documents"

# Monitor multiple directories
MONITOR_DIRECTORIES="/path/to/documents,/another_path/to/documents"
```

## Embedding Providers

If you use Ollama, you can use any pulled model that supports embeddings.

### Ollama (Default)

```bash
EMBEDDINGS_PROVIDER="ollama"
EMBEDDINGS_MODEL="mxbai-embed-large"
EMBEDDINGS_VECTOR_DIM=1024
```

### VoyageAI
If you want to use VoyageAI embeddings you will need to install `haiku.rag` with the VoyageAI extras,

```bash
uv pip install haiku.rag --extra voyageai
```

```bash
EMBEDDINGS_PROVIDER="voyageai"
EMBEDDINGS_MODEL="voyage-3.5"
EMBEDDINGS_VECTOR_DIM=1024
VOYAGE_API_KEY="your-api-key"
```

### OpenAI
If you want to use OpenAI embeddings you will need to install `haiku.rag` with the VoyageAI extras,

```bash
uv pip install haiku.rag --extra openai
```

and set environment variables.

```bash
EMBEDDINGS_PROVIDER="openai"
EMBEDDINGS_MODEL="text-embedding-3-small"  # or text-embedding-3-large
EMBEDDINGS_VECTOR_DIM=1536
OPENAI_API_KEY="your-api-key"
```

## Question Answering Providers

Configure which LLM provider to use for question answering.

### Ollama (Default)

```bash
QA_PROVIDER="ollama"
QA_MODEL="qwen3"
OLLAMA_BASE_URL="http://localhost:11434"
```

### OpenAI

For OpenAI QA, you need to install haiku.rag with OpenAI extras:

```bash
uv pip install haiku.rag --extra openai
```

Then configure:

```bash
QA_PROVIDER="openai"
QA_MODEL="gpt-4o-mini"  # or gpt-4, gpt-3.5-turbo, etc.
OPENAI_API_KEY="your-api-key"
```

## Other Settings

### Database and Storage

```bash
# Default data directory (where SQLite database is stored)
DEFAULT_DATA_DIR="/path/to/data"
```

### Document Processing

```bash
# Chunk size for document processing
CHUNK_SIZE=256

# Chunk overlap for better context
CHUNK_OVERLAP=32
```