Decentralized vector database on Bittensor — content-addressed semantic memory for AI
Text summation using python, deep learning, machine learning, transformer, huggingface, openai and langchain
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.
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