3 projects for "types" with 2 filters applied:

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    LEANN

    LEANN

    Local RAG engine for private multimodal knowledge search on devices

    ...By recomputing embeddings during queries and using compact graph-based indexing structures, LEANN can maintain high search accuracy while minimizing disk usage. It aims to act as a unified personal knowledge layer that connects different types of data such as documents, code, images, and other local files into a searchable context for language models.
    Downloads: 0 This Week
    Last Update:
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  • 2
    MyScaleDB

    MyScaleDB

    A @ClickHouse fork that supports high-performance vector search

    MyScaleDB is an open-source SQL vector database designed for building large-scale AI and machine learning applications that require both analytical queries and semantic vector search. The system is built on top of the ClickHouse database engine and extends it with specialized indexing and search capabilities optimized for vector embeddings. This design allows developers to store structured data, unstructured text, and high-dimensional vector embeddings within a single database platform....
    Downloads: 0 This Week
    Last Update:
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  • 3
    hora

    hora

    Efficient approximate nearest neighbor search algorithm collections

    ...Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning models. These vectors are commonly generated by neural networks to represent images, text, audio, or other data types in a mathematical embedding space. The library is written in Rust and emphasizes performance, safety, and efficient memory management, making it suitable for production-grade applications requiring low latency and high throughput.
    Downloads: 0 This Week
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