Showing 3 open source projects for "filter"

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    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

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  • 1
    Qdrant

    Qdrant

    Vector Database for the next generation of AI applications

    ...Search with a State-of-the-Art speed and apply search filters without compromising on results. Support additional payload associated with vectors. Not only stores payload but also allows filter results based on payload values. Unlike Elasticsearch post-filtering, Qdrant guarantees all relevant vectors are retrieved.
    Downloads: 52 This Week
    Last Update:
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  • 2
    AnnLite

    AnnLite

    A fast embedded library for approximate nearest neighbor search

    ...The library is easy to install and use. It is designed to be used with Python. To support search with filters, the annlite must be created with colums parameter, which is a series of fields you want to filter by.
    Downloads: 0 This Week
    Last Update:
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  • 3
    NOW

    NOW

    No-code tool for creating a neural search solution in minutes

    ...In this case, NOW asks for the URI to the S3 bucket, as well as the credentials and region thereof. A final step in loading your data is to choose the fields of your data that you would like to use for search and filter respectively.
    Downloads: 0 This Week
    Last Update:
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