Alternatives

Products that do what [Embedditor] - the Open-source Microsoft Word for Vector Embeddings does

1. 1WQ
   Word2Bits – Quantized Word Vectors▲221

   2018 · github.com

2. 2WA
   Wikipedia2Vec – A tool for learning embeddings of words and entities▲105

   2018 · wikipedia2vec.github.io

3. 3CY
   Can you think like a word vector? A game for exploring word embeddings▲8

   2018 · robotmindmeld.com

4. 4ED
   Embedding Deep Learning models into your Slides using R▲42

   2018 · rpubs.com

5. 5SF
   Supabase for Embeddings▲9

   2023 · github.com

6. 6AU
   A Unified Embed API▲11

   2014 · embedkit.com

7. 73W
   3d Word Vectors with Neural Networks, T-SNE, and WebGL▲30

   2013 · wordcloud.ersatz1.com

8. 8AS
   A search engine that lets you 'add' words as vectors▲148

   2013 · insightdatascience.com

9. 9RF
   Rag Framework▲5

   A scalable centralized embeddings platform for efficient embedding and retrieval to build RAG applications faster

   2024 · github.com

10. 10AP
    A Python container for dataclasses with multi-indexing and vector opps▲122

    2020 · github.com

11. 11SA
    SimilaritySearchKit – A package for local text embeddings with CoreML▲7

    2023 · github.com

12. 12PV
    Pluggable vector space models▲12

    2019 · github.com

13. 13VV
    Veml – Vector Embedding Markup Language▲8

    2023 · github.com

14. 14NN
    NNext.net – A Firebase-like managed vector storage for ML applications▲37

    Hi HN. Peter here. As a machine learning engineer, I mostly think in terms of feature vectors, embeddings, and matrices. One of the most useful byproducts of deep neural networks is embeddings because they allow us to represent high-dimensional data in terms of lower-dimensional latent vectors. These feature vectors can be used for downstream applications like similarly search, recommendation systems and near duplicate detection. As an ML engineer, I was frustrated by the lack of a datastore in which vectors are first-class citizens. As a result, most ML engineers, including myself, end up…

    2021

15. 15CA
    Codenames AI Using Word Embeddings▲5

    2018 · github.com

16. 16MA
    Milvus – An open-source vector similarity search engine▲8

    2020 · milvus.io

17. 17LA
    Lark, a modern parsing library with Earley and LALR(1) implementations▲15

    2017 · github.com

18. 18MI
    MLReef – its Gitlab for machine learning (open source / alpha)▲5

    2020 · mlreef.com

19. 19VE
    VizFiddle – Embed simple visualizations▲11

    2017 · vizfiddle.com

20. 20EV
    Embeddable Visitor Maps▲7

    2013 · maps.chrismacnaughton.com

21. 21DO
    Dataturks, online annotation tool for text and vision ML▲12

    2018 · dataturks.com

22. 22OS
    Open-Source Machine Learning Suite for the Browser▲8

    2017 · github.com

23. 23NN
    Num2vec – Numerical Embeddings via Deep Nested RNNs▲6

    2018 · blog.ayoungprogrammer.com

24. 24AV
    AskVideos-VideoCLIP: Open-source video-text embedding model▲9

    2024 · github.com

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