Showing 4 open source projects for "retrieve data"

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    Train ML Models With SQL You Already Know

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  • 1
    baru

    baru

    A system monitor written in Rust and C

    ...Thanks to this design (as well as Rust and C), baru is lightweight and efficient. It can run at a high refresh rate with a minimal processor footprint. The audio module communicates with the PipeWire/PulseAudio server through client API to retrieve its data. Wireless and wired modules use the netlink interface with the help of libnl to talk directly to the kernel and retrieve their data. Baru is modular. This means that only the modules you want to see are instantiated and executed.
    Downloads: 1 This Week
    Last Update:
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  • 2
    CocoIndex

    CocoIndex

    ETL framework to index data for AI, such as RAG

    CocoIndex is an open-source framework designed for building powerful, local-first semantic search systems. It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search data, distinguishing itself from closed, black-box systems. ...
    Downloads: 3 This Week
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  • 3
    trustfall

    trustfall

    A query engine for any combination of data sources

    trustfall is a flexible and extensible query engine designed to retrieve and analyze data from a wide variety of heterogeneous sources using a unified query language. It allows developers to query APIs, databases, files, and even structured outputs from AI systems as if they were part of a single, cohesive graph-based dataset. The system is inspired by GraphQL-like paradigms, enabling expressive and composable queries that can traverse relationships across different data domains seamlessly. ...
    Downloads: 0 This Week
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  • 4
    Spider

    Spider

    High-performance Rust web crawler and scraper for large-scale data

    ...It focuses on speed, concurrency, and reliability by using asynchronous and multi-threaded processing to handle large volumes of web pages. It can rapidly crawl websites to collect links, retrieve page content, and extract structured information from HTML documents. Spider can operate concurrently across many pages, allowing it to gather large datasets in a short period of time. Spider also provides mechanisms for subscribing to crawl events so developers can process page data such as URLs, status codes, or HTML content as it is discovered. ...
    Downloads: 2 This Week
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