zilliztech / zilliztech/VectorDBBench

Add client for Google Cloud's BigQuery service

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Dominant language
Python
Stars
1.2k
Forks
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Avg merge
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Merged PRs (30d)
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Description

BigQuery just released vector search and vector indexing in preview and it would be nice to be able to benchmark it. It's not meant for online queries though so it might not make sense for all use cases that are benchmarked here.

Contributor guide

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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 by reviewing how existing database clients are registered and benchmarked, then assess BigQuery's preview vector search and vector indexing support. Done means a BigQuery client is available in the benchmark and its vector-search and indexing performance can be measured, with scope checked for offline rather than online queries.

Written by the indexing model from the issue text.

Assessment

Tech stack
google-cloud, python
Domain
databases, performance
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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