Define storage & serialization for quantization types (Blanket Issue)

Description

As we expand multi-vector support beyond standard floating-point types, we need a robust storage and serialization strategy for quantized data. Different quantization schemes (e.g., MinMax, Scalar Quantization) require specific metadata—such as scaling factors, zero-points, or offsets—to be stored alongside the compressed vector representations and routed to the Reduce abstraction.

Tasks

• Define a standardized interface for serializing and deserializing quantized multi-vector data and its associated metadata.
• Implement the storage layout and serialization logic specifically for MinMax quantization (handling scales and offsets).
• Ensure the deserialized metadata feeds efficiently into the newly abstracted Reduce pipeline.
• Blanket Task: Create sub-issues for other required quantization types as needed (e.g., specific SQ variants).