Showing 2 open source projects for "vector databases"

View related business solutions
  • Curtain LogTrace File Activity Monitoring Icon
    Curtain LogTrace File Activity Monitoring

    For any organizations (up to 10,000 PCs)

    Curtain LogTrace File Activity Monitoring is an enterprise file activity monitoring solution. It tracks user actions: create, copy, move, delete, rename, print, open, close, save. Includes source/destination paths and disk type. Perfect for monitoring user file activities.
    Learn More
  • Ecwid is a hosted cloud commerce platform used by over 1.5 million merchants and offers the easiest way to add an online store to any website, social site or multiple sites simultaneously. Icon
    Ecwid is a hosted cloud commerce platform used by over 1.5 million merchants and offers the easiest way to add an online store to any website, social site or multiple sites simultaneously.

    Your free online store is just a few clicks away.

    Set up your Ecwid store once to easily sync and sell across a website, social media, marketplaces like Amazon, and live in-person. Get started with one, or try them all.
    Start Selling
  • 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: 3 This Week
    Last Update:
    See Project
  • 2
    Superduper

    Superduper

    Superduper: Integrate AI models and machine learning workflows

    Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. ...
    Downloads: 3 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB