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Products that do what Semantic atlas of 188 constitutions in 3D (30k articles, embeddings) does

I built this after noticing that existing tools for comparing constitutional law either have steep learning curves or only support keyword search. By combining Gemini embeddings with UMAP projection, you can navigate 30,828 constitutional articles from 188 countries in 3D and find conceptually related provisions even when the wording differs. Feedback welcome, especially from legal researchers or comparative law folks. Source and pipeline: github.com/joaoli13/constitutional-map-ai

  1. 1IM

    As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…

    2024 · papermatch.mitanshu.tech

  2. 2IM

    Hey HN! I love finding new books to read on here. I wanted to gather the most mentioned books and recreate the serendipity of physical browsing. I scraped 20k comments from HN threads related to reading, extracted the references and opinions using GPT-4o mini, and visualised their embeddings as a map. - OpenAI's embeddings were processed using UMAP and HDBSCAN. A direct 2D projection from the text embeddings didn't yield visually interesting results. Instead, HDBSCAN is first applied on a high-dimensional projection. Those clusters tend to correspond to different genres. The genre…

    2024 · hnbooks.pieterma.es

  3. 3SC
  4. 4IM

    I built this project as a way to learn more about NLP by applying it to something weird and unsolved. The Voynich Manuscript is a 15th-century book written in an unknown script. No one’s been able to translate it, and many think it’s a hoax, a cipher, or a constructed language. I wasn’t trying to decode it — I just wanted to see: does it behave like a structured language? I stripped a handful of common suffix-like endings (aiin, dy, etc.) to isolate what looked like root forms. I know that’s a strong assumption — I call it out directly in the repo — but it helped clarify the clustering. From…

    2025 · github.com

  5. 5SC

    I've been playing with embeddings and wanted to try out what results the embedding layer will produce based on just word-by-word input and addition / subtraction, beyond what many videos / papers mention (like the obvious king-man+woman=queen). So I built something that doesn't just give the first answer, but ranks the matches based on distance / cosine symmetry. I polished it a bit so that others can try it out, too. For now, I only have nouns (and some proper nouns) in the dataset, and pick the most common interpretation among the homographs. Also, it's case sensitive.

    2025 · calc.datova.ai

  6. 6IM

    When I read papers, I have to jump between multiple tabs to find the dataset, code, videos, peer reviews, and so on. I tried to fix this with this project. It started as a project just for papers on arXiv, but after its initial success on Twitter (got like 1.9k views: the most I have gotten for a post), I have now expanded it to include other openly available papers from PubMed Central, bioRxiv, medRxiv, and eLife. These papers have been linked with their genes, proteins, diseases, drugs, clinical trials, 3D protein structures, code, and cited and similar papers. This project now has four…

    Jul 2026 · tomesphere.com

  7. 7

    Google's first natively multimodal embedding model

    Mar 2026 · blog.google

  8. 8

    Interactive 3D globe visualizing 6,000 years of history.

    Nov 2025

  9. 9AT

    Interactive timeline of every major Large Language Model. Filterable by open/closed source, searchable, 54 organizations tracked.

    Feb 2026 · llm-timeline.com

  10. 10GF

    Govbase tracks every bill, executive order, and federal regulation from official sources (Congress.gov, Federal Register, White House). An AI pipeline breaks each one down into plain-language summaries and shows who it impacts by demographic group. It also ties each policy directly to bias-rated news coverage and politician social posts on X, Bluesky, and Truth Social. You can follow a single bill from the official text to how media frames it to what your representatives are saying about it. Free on web, iOS, and Android. https://govbase.com I'd love feedback from the community,…

    Mar 2026 · govbase.com

  11. 11IL

    I'm a pro bono attorney, and have been really interested in making the law easier to understand. I also see a ton of government resources online in varying degrees of usability. And for sure, there's no interoperability between them. This is an international legal dictionary, an experiment in improving the situation: glossaries are scraped and parses from official sources: https://github.com/public-law/open-gov-crawlers. The results are saved as datasets in well formed JSON with Dublin Core metadata: https://github.com/public-law/datasets I add Library…

    2022 · public.law

  12. 12EZ
  13. 13SS

    Oct 2025 · nga.demo.mixedbread.com

  14. 14GO

    Small experiment of visualization of wikipedia articles as a graph using d3.js.<p>Articles with more traffic are bigger. I computed the semantic similarity using LSI with python (gensim) You have to scroll down/right a bit!<p>http://similarityapi.appspot.com/graph/?title=blade%20runner<p>There is also a JSON api: http://similarityapi.appspot.com/api/v1/?limit=100&title=blade%20runner<p>All feedback is appreciated:<p>@lucamartinetti [email protected]

    2012 · similarityapi.appspot.com

  15. 15
    Voxweave118

    Your high-quality YouTube summarizer with mind map support

    2024

  16. 16

    Compare the Sizes of Countries and States

    2014

  17. 17UA

    88% of people never read the terms and conditions of websites or services they use. However, most people want to know what they are agreeing to in those terms. That is why we created Legal Leaf. We strongly believe that everyone should have easy access to those agreements, in language they can understand. Legal Leaf works behind the scenes, in your browser, to read and summarize these terms using powerful AI. We're constantly working to improve the accuracy of these summaries. The results are displayed in the top right corner without affecting web speeds. Legal Leaf is a beta product still…

    2018

  18. 18

    6.5 million state and federal cases dating back to 1600s

    2018

  19. 19

    Easy goverment data access for citizens, optimized for AI

    Apr 2026 · katzilla.dev

  20. 20

    The world's regulations, machine-readable.

    Jun 2026 · legaldata-public.cleolabs.co

  21. 21TC
  22. 22IB
  23. 23IM

    Just a fun toy I wanted to make. I've been studying and playing around with language models lately and have always been intrigued by how words are processed by these models. Since the vectors generated by embedding models is in very high dimensional space, I thought it would be cool to reduce them to 3D vectors and visualise them myself. This is what I have so far!

    2023 · seesaurus.com

  24. 24LU

    We have another election coming up at the end of this month here in the Netherlands, and how we use our limited land is a hotly debated topic. Last year also I shared this animated hexagonal map of Dutch land use. I've now expanded this to include several more European countries, so you can see what makes Dutch land use so special - or not. If you want to help add more countries, I'd appreciate PRs on GitHub. The map rendering is already there, it only requires land use data which can be found in the SQLite database (at least for EU countries). Github:…

    Oct 2025 · onsland.koenvangilst.nl

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