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  • Shanghai, China
  • 05:16 (UTC +08:00)

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chasingegg/README.md

Hi, I'm chasingegg 👋

I'm a software engineer for a living, I'm working on milvus vector database project. My work focuses on the intersection of vector search/full text search, databases, and high-performance computing.

I'm looking for some AI related ideas to chase.

Areas of interest

  • Vector databases and approximate nearest-neighbor search
  • Large-scale data systems and distributed infrastructure
  • Performance engineering and algorithm optimization
  • Benchmarking and evaluating data-intensive systems

Open-source highlights

  • Faiss — efficient similarity search and clustering for dense vectors
  • Milvus — a cloud-native vector database built for scalable ANN search
  • Knowhere — Milvus's vector search engine, integrating FAISS, HNSW, DiskANN, and other indexing technologies
  • VectorDBBench — an open-source benchmarking tool for vector databases
  • Winconv — a C++ implementation of the Winograd minimal convolution algorithm for Intel architecture

Pinned Loading

  1. Winconv Winconv Public

    implementation of winograd minimal convolution algorithm on Intel Architecture

    C++ 40 10

  2. facebookresearch/faiss facebookresearch/faiss Public

    A library for efficient similarity search and clustering of dense vectors.

    C++ 41.2k 4.6k

  3. milvus-io/milvus milvus-io/milvus Public

    Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

    Go 46.5k 4.3k

  4. zilliztech/knowhere zilliztech/knowhere Public

    Vector search engine inside Milvus, integrating FAISS, HNSW, DiskANN.

    C++ 389 173

  5. zilliztech/VectorDBBench zilliztech/VectorDBBench Public

    Benchmark for vector databases.

    Python 1.2k 450