Showing 4 open source projects for "vector database"

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  • Cloud-hosted construction project information management for improved communication, and increased efficiency. Icon
    Cloud-hosted construction project information management for improved communication, and increased efficiency.

    Ideal for on-premise project information management.

    Newforma empowers over 4M professionals and 1,500 AECO firms worldwide by revolutionizing Project Information Management. We transform vast amounts of project data into a meticulously organized, easily accessible, and fully searchable resource—all from a single, centralized platform. From pre-construction to years after completion, Newforma ensures you have the critical information you need at every stage of your projects.
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  • Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes. Icon
    Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes.

    Track your GenAI risk, run multichannel deepfake simulations, and engage employees with incredible security training.

    Assess how your company's digital footprint can be leveraged by cybercriminals. Identify the most at-risk individuals using thousands of public data points and take steps to proactively defend them.
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  • 1
    SuperDuperDB

    SuperDuperDB

    Integrate, train and manage any AI models and APIs with your database

    Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Embedding Studio

    Embedding Studio

    Framework which allows you transform your Vector Database

    Embedding Studio is a framework that transforms vector databases into feature-rich search engines. It leverages embeddings to enhance search capabilities, enabling more accurate and context-aware retrieval of information. Embedding Studio supports various data types and integrates seamlessly with existing databases, providing tools for fine-tuning and optimizing embeddings to suit specific application needs.
    Downloads: 0 This Week
    Last Update:
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  • 3
    DeepCamera

    DeepCamera

    Open-Source AI Camera. Empower any camera/CCTV

    ...SharpAI yolov7_reid is an open-source Python application that leverages AI technologies to detect intruders with traditional surveillance cameras. The source code is here It leverages Yolov7 as a person detector, FastReID for person feature extraction, Milvus the local vector database for self-supervised learning to identify unseen persons, Labelstudio to host images locally and for further usage such as label data and train your own classifier. It also integrates with Home-Assistant to empower smart homes with AI technology.
    Downloads: 7 This Week
    Last Update:
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  • 4
    Superduper

    Superduper

    Superduper: Integrate AI models and machine learning workflows

    ...Using Superduper is simply "CAPE": Connect to your data, apply arbitrary AI to that data, package and reuse the application on arbitrary data, and execute AI-database queries and predictions on the resulting AI outputs and data.
    Downloads: 0 This Week
    Last Update:
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  • Network Discovery Software | JDisc Discovery Icon
    Network Discovery Software | JDisc Discovery

    JDisc Discovery supports the IT organizationss of medium-sized businesses and large-scale enterprises.

    JDisc Discovery is a comprehensive network inventory and IT asset management solution designed to help organizations gain clear, up-to-date visibility into their IT environment. It automatically scans and maps devices across the network, including servers, workstations, virtual machines, and network hardware, to create a detailed inventory of all connected assets. This includes critical information such as hardware configurations, software installations, patch levels, and relationshipots between devices.
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