feat: add support for Lindorm #718
Open
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Description
This PR introduces support for Lindorm, an Alibaba Cloud multi-model cloud-native database, as a new database engine in VectorDBBench. Lindorm's vector search capability provides high-performance and scalable vector indexing, making it suitable for large-scale AI and similarity search scenarios.
Supported Index Types:
(1)HNSW : High-performance graph-based indexing.
(2)IVFPQ : Optimized for memory efficiency and high-speed retrieval.
(3)IVFBQ : Designed for ultra-fast search with minimal storage footprint via binary quantization.