zilliztech / zilliztech/VectorDBBench
Support bm25 SPARSE_INVERTED_INDEX and hybird search benchmark?
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- Python
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Description
We use milvus dense and sparse vector and hybird search: https://milvus.io/docs/zh/multi-vector-search.md
Dose this benchmark repo support hybird search? How can i config the test?
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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.
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Research direction
The issue names no repository files or tests. Start by tracing the benchmark configuration and Milvus integration, using the linked Milvus multi-vector-search documentation to compare dense/sparse hybrid support. Done means a clear configuration path, or a documented limitation, for bm25 SPARSE_INVERTED_INDEX hybrid-search benchmarking.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- databases
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100