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Products that do what Neil DeGrasse Tyson teaches you about vector search does
This is an AI generated TED talk from a system we built at the TED AI hackathon this weekend. It's built on top of ElevenLabs, SDXL and Wordware (https://wordware.ai/). We also have a custom index of over 2 million arXiv papers and 6 million Wikipedia articles. All open source: https://github.com/ashvardanian/extrapolaTED
- 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
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Hi HN, I am Jiayuan, and I'm here to introduce a tool we've been building over the past few months: Devv (https://devv.ai). In simple terms, it is an AI-powered search engine specifically designed for developers. Now, you might ask, with so many AI search engines already available—Perplexity, You.com, Phind, and several open-source projects—why do we need another one? We all know that Generative Search Engines are built on RAG (Retrieval-Augmented Generation)[1] combined with Large Language Models (LLMs). Most of the products mentioned above use indexes from general search engines…
2024 · devv.ai
- 4IB
Hi there! When Supabase announced their recent hackathon, I thought it was a good time to build something to learn more about so many of the new AI models and tech out there. From the different techniques of embedding documents to the future RAG. With the rise of short form content with TikTok and Youtube. A lot more knowledge is in videos than ever before. Finding specific answers within millions of videos can be difficult for any one person to go through. So the question is if there is Google that indexes text on website making it easier to find based on the context of on your question,…
2023 · avse.vercel.app
- 5IM
Hi, I'm a high school teacher from Australia and I've built what I'd like to think is a pretty nifty ChatGPT powered presentation tool for teachers. I'd love it if you could have a look at it and give me some of your feedback. I don't think there's much overlap with the HN crowd and school teachers, but I've been coming here for many years and thought I'd post here and see what you all think. Check it out if you have a minute and I'd be super happy to hear your feedback too. https://www.slidehero.ai/ You can jump in and have a play with the tool all you like ;) Cheers, Eli
2025
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Hey HN! I've always found it hard to keep up with the latest AI research, so I built Arxiv Feed! https://arxiv-feed.vercel.app/ It's basically a feed of AI research papers + a one-liner explaining what problem its solving, etc. You can also click on any paper to get a TL;DR. Right now, I've only indexed a few hundred large language model papers, but will expand to indexing AI papers in other topics. Thinking of also adding a way for people to up-vote/down-vote papers. Would love to hear any thoughts/feedback! :D Thanks!
2023 · arxiv-feed.vercel.app
- 9IM
This is another one of my automate-my-life projects - I'm constantly asking the same question to different AIs since there's always the hope of getting a better answer somewhere else. Maybe ChatGPT's answer is too short, so I ask Perplexity. But I realize that's hallucinated, so I try Gemini. That answer sounds right, but I cross-reference with Claude just to make sure. This doesn't really apply to math/coding (where o1 or Gemini can probably one-shot an excellent response), but more to online search, where information is more fluid and there's no "right" search engine + text…
2024 · ithy.com
- 10AG
This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.
2025 · rlafuente.com
- 11CV
Hey HN, we're excited to show you client-vector-search, a client-side library that helps you embed, store, search, and cache vectors in your browser or node env. We needed it at https://searchbase.app and that's why we've built it. with it you get: 1. easy setup: you only need to add 5 lines of code to build a semantic search 2. no embedding api needed: you don't need an api and have to pay for it unless ure scaling up millions 3. faster search: modern hardware is better than cheap cloud computers (0.5vCPUs) 4. zero latency: no back-and-forth with server-side 5. easy integration…
2023 · clientvectorsearch.com
- 12IM
AI search results are quickly becoming more important than SEO, but as businesses, we have no visibility over it! That's why I'm building "Ahrefs for AI search results". Track keyword performance on AI tools like ChatGPT, Claude, Perplexity & more
2025 · linrush.com
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Think of HackerNews, but only for AI content. Did build this out of the wish for easier discoverability of new technologies in the AI/ML space. Obviously, so far only a tiny small community, but maybe a few of you find it nice to be around and want to post a link there every now and then :)
2023 · news.aiapipro.com
- 15SH
Been feeling a bit left out in this fast paced world of ML/AI, so built my first ML project since college. The idea is to scrape the most recent HN article titles and use TF-IDF and cosine similarity as metrics to rank articles that you're interested in to filter out only relevant things. Hopefully a fun project for beginners to get inspiration to jump into this world.
2023 · github.com
- 16IB
Hey HN! I just released a suite of AI models for deployment on UAV and other "overhead" devices to provide some understanding of the world below. The objective is to empower all sorts of open-source use cases around search and rescue, wildfire prevention, ground risk mitigation for flight over populated areas etc... The neural networks are trained for a bunch of different devices from big GPUs to tiny edge AI cameras like the Luxonis OAK, with some optimised ones for Nvidia TensorRT and other cool bits and pieces too. The main release package also includes some boilerplate code for running…
2023 · github.com
- 17IB
Disclaimer it is a heavily AI assisted project. The goal was not to be the most performative but the kind that's easier to learn from. I wanted to share this in case there are people who had the same idea or wanted to see something like this.
Jun 2026 · github.com
- 18HN
Hi HN, I built an AI that can interact with the Hacker News API: https://hn.aidev.run You can ask questions like: - What on hackernews about AI? - What on hackernews about iPhone? - What's trending on hackernews? - What are users showing on hackernews? - What are users asking on hackernews? - Summarize this story: https://news.ycombinator.com/item?id=39156778 It uses function calling to query the HN api. To answer questions about a particular topic, it’ll search its knowledge base (a vector db that is periodically updated with the “top stories”) and get details about…
2024 · hn.aidev.run
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Hey HN, Since the launch of GPTs, I’ve struggled with integrating vast, up-to-date knowledge into a custom GPT and embedding it into websites and apps. After months of trial and error, we’ve developed an AI Search & Knowledge Assistant that solves this problem. Over the weekend, I built a demo assistant for Stripe that provides accurate answers, useful links, images in responses, cites sources, and keeps a thread history of your conversations. Here’s what’s included: - 3,700+ public documents full of useful info - 105+ million characters of rich knowledge - Powered by the ChatGPT-4o model…
2024 · demo.ordemio.com
- 20IM
I’m 15 and self-taught. I'm learning ML from scratch because I want to really understand how things work. I’m not into frameworks. I prefer math, logic, and C++. I implemented a basic MLP that supports different activation and loss functions. It was trained via mini-batch gradient descent. I wrote it from scratch, using no external libraries except Eigen (for linear algebra). I learned how a Neural Network learns (all the math) -- how the forward pass works, and how learning via backpropagation works. How to convert all that math into code. I’ll write a blog soon explaining how MLPs work in…
2025 · github.com
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Hey HN! My brothers and I have worked on this for the last 2 weeks. We use OpenAI's `text-embedding-ada-002` model to embed queries and a vector database to search for similar verses / blocks of verses. We'd like to see what you think and appreciate any feedback!
2023 · siliconscripture.org
- 22AM
Hey, HN community! I'm excited to share the fifth issue of our AI/ML Weekly Digest. This innovative newsletter uses the power of GPT-4 to analyse and curate the most relevant and exciting AI/ML stories from Hacker News. This week I also share with our subscribers a curated list of resources during my learning journey https://github.com/vlameiras/ai-ml-resources/ GPT-4 scours through the top stories on Hacker News to bring you a concise summary and sentiment analysis of the hottest AI/ML news each week. Subscribe & Stay Updated To get the complete…
2023 · hn-ai-newsletter.beehiiv.com
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Hey HN friends, Just launched my first NoCode web app, maching.ai, built with Bubble. Check it out and let me know if you have any questions or suggestions!
2023 · maching.ai
- 24NR
Hey folks! This is a project that I've been working in my free time for the past few months. It's a news aggregator that uses AI to select relevant articles and summarize them. The default sources are frameworks and libraries' updates, popular HN topics, and languages' subreddits threads that make past a certain threshold. You can run a local instance (needs an OpenAI key) and customize it with your own sources, and adjust the prompt as well. The resulting website can be browsed at https://dev-radar.com/ My next experiment will be with local news. I'm building some feeds with…
2023 · github.com
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