The Alexandria Index
Massive internet datasets, embedded, open-sourced and free
What it does
Vector embeddings are incredibly powerful, compressing text into a low-dimensional 'meaning space', but they're also shockingly cheap. Alexandria is an open-source project to embed and release (for free) large datasets in research, law, medicine and more.
Does the same job
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Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…
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I've always felt it a bit hard to grasp how far news reach and all. Because I'm also a bit behind on python, I decided to build something from scratch. It's really simple: docker compose, micro services connected to some very basic data pipelines using rabbitMQ, and some local NLP. The NLP portion is a bit slow as it's pure CPU and doesn't leverage GPU/NPE if you have them. The tool offers you to define your own "labels" and "relations", which are then picked up by the local NLP models to assign it to news articles. Standard, there are only a few included. But the goal is to have your…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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In today's world, catchy headlines and articles often distract readers from the facts and relevant information. By utilizing OpenAI's language models, Boring Report processes sensationalist news articles, transforms them into the content you see, and helps readers focus on the essential details. We recently updated our iOS app experience, so any and all feedback would be appreciated. App Link: https://apps.apple.com/us/app/boring-report-news-by-ai/id644...
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