Showing 3 open source projects for "processing"

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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • 1
    Kingfisher

    Kingfisher

    Lightweight, pure-Swift library for downloading images from the web

    Kingfisher is a powerful, pure-Swift library for downloading and caching images from the web. It provides you a chance to use a pure-Swift way to work with remote images in your next app. Asynchronous image downloading and caching. Loading image from either URLSession-based networking or local provided data. Useful image processors and filters provided. Multiple-layer hybrid cache for both memory and disk. Fine control on cache behavior. Customizable expiration date and size limit....
    Downloads: 3 This Week
    Last Update:
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  • 2
    Cache

    Cache

    Nothing but Cache

    ...It offers a good public API with out-of-box implementations and great customization possibilities. Cache utilizes Codable in Swift 4 to perform serialization. The cache is built based on a Chain-of-responsibility pattern, in which there are many processing objects, each knows how to do 1 task and delegates to the next one, so can you compose Storage the way you like. All Storage now are generic by default, so you can get a type of safety experience. Once you create a Storage, it has a type constraint that you don't need to specify a type for each operation afterward.
    Downloads: 2 This Week
    Last Update:
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  • 3
    Swift AI

    Swift AI

    The Swift machine learning library

    ...The example projects are another great resource for seeing real-world usage of these tools. Swift AI currently depends on Apple's Accelerate framework for vector/matrix calculations and digital signal processing.
    Downloads: 0 This Week
    Last Update:
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