Showing 2 open source projects for "extraction"

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    Vearch

    Vearch

    A distributed system for embedding-based vector retrieval

    ...Through the module of the plugin, a complete default visual search system can be deployed just with one click. Otherwise, you can easily customize your own image, video, or text feature extraction algorithm plugin. This GIF provides a clear demonstration of the project vearch usage and its internal structure. The use of vearch is mainly divided into three steps. Firstly, create DB and Space, then import your data, and finally, you can search on your own dataset.
    Downloads: 4 This Week
    Last Update:
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  • 2
    Weaviate

    Weaviate

    Weaviate is a cloud-native, modular, real-time vector search engine

    ...Weaviate in detail: Weaviate is a low-latency vector search engine with out-of-the-box support for different media types (text, images, etc.). It offers Semantic Search, Question-Answer-Extraction, Classification, Customizable Models (PyTorch/TensorFlow/Keras), and more. Built from scratch in Go, Weaviate stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance of a cloud-native database, all accessible through GraphQL, REST, and various language clients.
    Downloads: 7 This Week
    Last Update:
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