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- add PolarDB vector search client with FAISS_HNSW_FLAT, FAISS_HNSW_PQ, and FAISS_HNSW_SQ index types - add CLI integration with hnswflat, hnswpq, and hnswsq benchmark commands - add frontend (Streamlit) UI support with index type selection, HNSW/PQ/SQ parameter configuration
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[APPROVALNOTIFIER] This PR is NOT APPROVED This pull-request has been approved by: nanlongyu The full list of commands accepted by this bot can be found here. DetailsNeeds approval from an approver in each of these files:Approvers can indicate their approval by writing |
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/assign @XuanYang-cn |
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Description
This PR introduces support for PolarDB, an Alibaba Cloud cloud-native relational database service, as a new database engine in VectorDBBench. PolarDB features IMCI (In-Memory Column Index) based vector search capabilities, leveraging FAISS as its underlying vector engine. It is compatible with the MySQL protocol, offering high-performance and cost-effective vector retrieval on top of a fully-managed cloud-native architecture with features like storage-compute separation, read-write splitting, and elastic scaling — making it well-suited for enterprise-level AI and similarity search scenarios.
Supported Index Types：