AI powered legal research engine. The system is based on multi AI agentic RAG systems leveraging the power of Llama3 LLM
Helper package to spin-up a Qdrant instance without Docker
Implementation of Retrieval Augmented Generation model in typescript with Gemini LLM
The data layer for AI with Vector, Graph and Vector-Math built into one single rust engine
This project implements 30+ variants of ANN algorithms to find the K nearest neighbors in high-dimensional vector spaces. It is meant as a convenient sandbox: drop in your own ANN code, run a one-liner, and instantly compare build/search speed and recall against the bundled baselines.
Engage in a semantic segmentation challenge for land cover description using multimodal remote sensing earth observation data, delving into real-world scenarios with a dataset comprising 70,000+ aerial imagery patches and 50,000 Sentinel-2 satellite acquisitions.
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