MB-59670: GPU-Accelerated Vector Search

[CascadingRadium]

• Add a flag: gpu to indicate whether the vector field must use GPUs for indexing/searching.
• Github project: GPU-Accelerated Vector Search

[Copilot]

Pull Request Overview

This PR adds GPU acceleration support for vector field indexing and searching. The changes enable users to specify whether GPU should be used for vector operations through a new configuration field.

Key changes:

• Added GPU boolean field to FieldMapping struct for configuration
• Extended vector field constructors to accept and store GPU parameter
• Added GPU() getter method to VectorField for accessing the GPU configuration

Reviewed Changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated no comments.

File	Description
mapping/field.go	Added GPU boolean field to FieldMapping struct with JSON tag
mapping/mapping_vectors.go	Updated vector field creation to pass fm.GPU parameter
document/field_vector.go	Added gpu field to VectorField struct, updated constructors with GPU parameter, and added GPU() getter method
document/field_vector_base64.go	Updated NewVectorBase64Field constructor to accept and forward GPU parameter

Comments suppressed due to low confidence (1)

document/field_vector_base64.go:163

• VectorBase64Field is missing a GPU() method to match the pattern of delegating VectorField interface methods. Since VectorBase64Field already exposes other VectorField methods like IndexOptimizedFor(), Similarity(), Dims(), and Vector(), it should also expose the GPU() method for API consistency. Add the following method after line 163:\n\ngo\nfunc (n *VectorBase64Field) GPU() bool {\n\treturn n.vectorField.GPU()\n}\n

func (n *VectorBase64Field) IndexOptimizedFor() string {
	return n.vectorField.IndexOptimizedFor()
}

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[Copilot]

Pull Request Overview

Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.

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[coveralls]

coverage: 51.529% (+0.01%) from 51.517% — gpu into master