zilliztech / zilliztech/VectorDBBench
Add Filtering Performance based on `match_phrase` with knn search for RAG
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- Dominant language
- Python
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Description
In RAG scenarios, we often combine full-text search (such as match_phrase) with knn search for hybrid retrieval. Therefore, I recommend adding performance tests for this specific scenario to facilitate user reference and evaluation.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the existing performance-test suite and benchmark entry points for hybrid vector retrieval. Search for current knn and match_phrase coverage, then determine how to represent their combined use. Done means the scenario has repeatable performance tests and results suitable for user comparison.
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Assessment
- Tech stack
- python
- Domain
- databases, performance, testing-qa
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100