# sift1M_base_dataPath = "/home/wwj/Vector_DB_Acceleration/vector_datasets/sift1M/sift_base.fvecs" # sift1M_groundtruth_dataPath = "/home/wwj/Vector_DB_Acceleration ...
# sift1M_base_dataPath = "/home/wwj/Vector_DB_Acceleration/vector_datasets/sift1B/bigann_base.bvecs" # sift1M_groundtruth_dataPath = "/home/wwj/Vector_DB_Acceleration ...
Abstract: Vector databases typically manage large collections of embedding vectors. As AI applications are growing rapidly, the number of embeddings that need to be stored and indexed is increasing.
Retrieval uses all- MiniLM-L6-v2 embeddings with a FAISS index, a vector-search index, while Qwen2.5-7B-Instruct handles the main decomposition setup. In the benchmark comparison, context-window ...
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