Alternatives

Products that do what SimilaritySearchKit – A package for local text embeddings with CoreML does

1. 1WA
   Wikipedia2Vec – A tool for learning embeddings of words and entities▲105

   2018 · wikipedia2vec.github.io

2. 2RA
   Rustpad, a self-hosted online collaborative text editor▲143

   2021 · github.com

3. 3PA
   Parsr – A toolchain to transform documents into usable structured text▲182

   2020 · par.sr

4. 4TA
   TextRazor, a scriptable text mining API▲118

   2013 · textrazor.com

5. 5SA
   Stork: A customizable, WASM-powered full-text search plugin for the web▲137

   2020 · stork-search.net

6. 6ET
   [Embedditor] - the Open-source Microsoft Word for Vector Embeddings▲7

   2023 · github.com

7. 7
   Atavist▲116

   A web-based word processor as beautiful as Medium

   2015

8. 8AP
   All-pair similarity search on millions of sets in Python and on laptop▲123

   2018 · github.com

9. 9C0
   Cherry2.0 – text classification without ML knowledge needed▲71

   2019 · github.com

10. 10HA
    Homer – A Text Analyzer in Python▲110

    2019 · github.com

11. 11HN
    HTML-Notepad – A WYSIWYG editor of structured documents▲95

    2018 · html-notepad.com

12. 12MT
    MonkeyLearn – Text Mining Made Easy▲40

    2015 · monkeylearn.com

13. 13MA
    Milvus – An open-source vector similarity search engine▲8

    2020 · milvus.io

14. 14RF
    Rag Framework▲5

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

    2024 · github.com

15. 15ML
    Model2vec – Lightning-fast Static Embeddings for RAG/Semantic Search▲28

    We’ve recently open-sourced Model2vec, a method to distill sentence transformers into static embeddings that outperform all previous approaches by a large margin on MTEB. Our new models set a new state-of-the-art for static embeddings. Main features: - Our best model (potion-base-8M) has only 8M parameters, which is ~30mb on disk - Inference is ~500x faster than the distilled base model (bge-base), on a CPU - New models can be distilled in 30 seconds on a CPU without requiring a dataset - just a vocabulary - Numpy-only inference: The packaged can be install the package with minimal…

    2024 · github.com

16. 16LA
    Lark, a modern parsing library with Earley and LALR(1) implementations▲15

    2017 · github.com

17. 17AU
    A Unified Embed API▲11

    2014 · embedkit.com

18. 18AE
    APIembed - Embeddable API Code Snippets in Multiple Languages▲14

    2015 · apiembed.com

19. 19CA
    Calyx – A Ruby Library for Generating Text▲14

    2016 · github.com

20. 20CY
    Can you think like a word vector? A game for exploring word embeddings▲8

    2018 · robotmindmeld.com

21. 21VV
    Veml – Vector Embedding Markup Language▲8

    2023 · github.com

22. 22AE
    An Embedding-Based Search Service over ShowHN, AskHN, GitHub, More▲7

    Hey folks, Elias here. Excited to unveil my latest project. Why I Built This: Traditional keyword search isn't cutting it. I've used LLM-embeddings to provide more nuanced, relevant results. How It Works: LLM-embedding similarity on curated datasets for semantically similar results. No need to iterate over keywords any more. Current Datasets: - YC Companies - Show HN Posts, - Ask HN Posts - ProductHunt Startups - Github Top 200k Repos Use Cases: - Validate a product idea's existence - Check if someone already Asked HN something - Have fun - search random terms and see what pops up Want to…

    2023 · payperrun.com

23. 23IA
    Instaparser – An API for Instapaper's parser▲12

    2016 · instaparser.com

24. 24TA
    TextTeaser – An automatic summarization app and API▲16

    2013 · textteaser.com

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