NVIDIA / NVIDIA/cuvs

[FEA] Metadata pre-filtered search

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#418 10 comments 0 reactions 0 assignees View on GitHub

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feature request
Dominant language
Cuda
Stars
854
Forks
236
Avg merge
3d 3h
Merged PRs (30d)
62

Description

Filtered search for a more general type of label data is needed for many use cases. Typically, this takes the form of a vector of integers for every vector in the dataset and query. The general predicate function approach implemented in search_with_filter can be used for this, but is not currently exposed in the header for CAGRA. As a work-around, the source file with "search_with_filtering" can be included directly, but this greatly increases compile time and is not ideal.

If it is simpler or more performant, another option is a less general "labeled" search option where a specific format of label data can be provided to perform filtered search this way. Something like this could satisfy most use cases and may be preferable to a completely general predicate function.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the existing search_with_filter implementation and the CAGRA public header, then compare exposing its general predicate function with adding the proposed labeled-search option. Done means metadata-based filtered search is available through the public API without directly including the source file, with the preferred approach and expected behavior documented by the implementation and tests.

Written by the indexing model from the issue text.

Assessment

Domain
api, search
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
28/100

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