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Xiamen University
- No. 422, Siming South Road, Xiamen, Fujian, China. 36100
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Roaring bitmaps in C (and C++), with SIMD (AVX2, AVX-512 and NEON) optimizations: used by Apache Doris, ClickHouse, Alibaba Tair, Redpanda, YDB and StarRocks
Probably the fastest coroutine lib in the world!
Public repository for CleANN, an efficient fully-dynamic approximate nearest neighbor search index
"RAG-Anything: All-in-One RAG Framework"
High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU [to appear in SIGMOD'26]
My learning notes for ML SYS.
中文的C++ Template的教学指南。与知名书籍C++ Templates不同,该系列教程将C++ Templates作为一门图灵完备的语言来讲授,以求帮助读者对Meta-Programming融会贯通。(正在施工中)
[SIGMOD 2025] PQCache: Product Quantization-based KVCache for Long Context LLM Inference
cuVS - a library for vector search and clustering on the GPU
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
HAKES: Efficient Data Search with Embedding Vectors at Scale
A new query hardness measure for graph-based ANN indexes. Build unbiased workloads with this hardness to see the actual performance of your ANN indexes.
A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search
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A lightweight library for the RaBitQ algorithm and its applications in vector search.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.
Supercharge Your LLM with the Fastest KV Cache Layer