Skip to content

Enable Multi-vector distance function kernel for f32, f16, i8, u8 and MinMax quantization. #883

Open
8 of 12 issues completed

Description

@arrayka

Is your feature request related to a problem? Please describe.

A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

Describe the solution you'd like

A clear and concise description of what you want to happen.

Describe alternatives you've considered

A clear and concise description of any alternative solutions or features you've considered.

Provide references (if applicable)

If your feature request is related to a published algorithm/idea, please provide links to
any relevant articles or webpages.

Additional context

Add any other context or screenshots about the feature request here.

Activity

  1. added this to the 2026-05 milestone on May 5, 2026
  2. changed the title [-]Enable Multi-vector support for Colbert re-ranking[/-] [+]Enable Multi-vector distance function kernel[/+] on May 5, 2026
  3. 3 remaining items

  4. changed the title [-]Enable Multi-vector distance function kernel[/-] [+]Enable Multi-vector distance function kernel for f32, f16 and MinMax quantization.[/+] on Jul 14, 2026
  5. changed the title [-]Enable Multi-vector distance function kernel for f32, f16 and MinMax quantization.[/-] [+]Enable Multi-vector distance function kernel for f32, f16, i8, u8 and MinMax quantization.[/+] on Jul 14, 2026
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Labels

enhancementNew feature or request

Type

No type

Projects

Milestone

Relationships

None yet

Development

No branches or pull requests

Issue actions