TileDB-Vector-Search VS sod

Compare TileDB-Vector-Search vs sod and see what are their differences.

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TileDB-Vector-Search sod
3 6
46 1,717
- -
9.6 4.8
3 days ago 7 months ago
Jupyter Notebook C
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

TileDB-Vector-Search

Posts with mentions or reviews of TileDB-Vector-Search. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-01.
  • Ask HN: Who is hiring? (September 2023)
    14 projects | news.ycombinator.com | 1 Sep 2023
    - vector search, utilizing TileDB and TileDB Cloud for seamless scaling: https://tiledb.com/blog/why-tiledb-as-a-vector-database (library: https://github.com/TileDB-Inc/TileDB-Vector-Search)
  • Why TileDB as a Vector Database
    2 projects | news.ycombinator.com | 2 Aug 2023
    Stavros from TileDB here (Founder and CEO). I thought of requesting some feedback from the community on this blog. It was only natural for a multi-dimensional array database like TileDB to offer vector (i.e., 1D array) search capabilities. But the team managed to do it very well and the results surprised us. We are just getting started in this domain and a lot of new algorithms and features are coming up, but the sooner we get feedback the better.

    TileDB-Vector-Search Github repo: https://github.com/TileDB-Inc/TileDB-Vector-Search

    TileDB-Embedded (core array engine) Github repo: https://github.com/TileDB-Inc/TileDB

    TileDB 101: Vector Search (blog to get kickstarted): https://tiledb.com/blog/tiledb-101-vector-search/

  • Ask HN: Who is hiring? (August 2023)
    13 projects | news.ycombinator.com | 1 Aug 2023
    New Vector search library: https://github.com/TileDB-Inc/TileDB-Vector-Search

    Our headquarters are located in Cambridge, MA and we have a subsidiary in Athens, Greece. We offer the ability to work remotely for anyone with legal residence in the US or Greece. We have several open positions aimed at increasing TileDB’s feature set, growth and adoption. You will have the opportunity to work on innovative technology that creates impact on challenging and exciting problems in Genomics, Geospatial, Time Series, and more. We have just launched a new vector search library built on top of TileDB and leveraging

    We are actively seeking:

sod

Posts with mentions or reviews of sod. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-01.

What are some alternatives?

When comparing TileDB-Vector-Search and sod you can also consider the following projects:

tiny-dream - Tiny Dream - An embedded, Header Only, Stable Diffusion C++ implementation

Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.

nl-wallet - NL Public Reference Wallet

azure-iot-sdk-c - A C99 SDK for connecting devices to Microsoft Azure IoT services

mentat - Mentat - The AI Coding Assistant

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

autodistill - Images to inference with no labeling (use foundation models to train supervised models).

raylib - A simple and easy-to-use library to enjoy videogames programming

supervision - We write your reusable computer vision tools. 💜

CImg - The CImg Library is a small and open-source C++ toolkit for image processing

Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.