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Base Configuration

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Configuration Options

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Brain Settings

• name: Name of your brain
• description: Optional description of what the brain contains
• model: The LLM model to use (e.g., “gpt-4”, “claude-2”)
• temperature: Controls randomness in responses (0.0 to 1.0)

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Storage Settings

• storage_type: Type of storage backend (“local”, “s3”, etc.)
• storage_path: Path for local storage or bucket name for S3

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Embedding Settings

• embedding_model: Model to use for creating embeddings
• embedding_dimension: Dimension of the embedding vectors

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Example Configuration

from quivr_core.config import BrainConfig

config = BrainConfig(
    name="my_brain",
    description="A brain for processing technical documentation",
    model="gpt-4",
    temperature=0.7,
    storage_type="local",
    storage_path="./storage",
    embedding_model="text-embedding-ada-002",
    embedding_dimension=1536
)