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@yuniko-software

Yuniko Software

Our organization is open-source and non-commercial, with key areas of interest including .NET, semantic and full-text search, AI, and distributed applications

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  1. minecraft-mcp-server minecraft-mcp-server Public

    A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game …

    TypeScript 131 15

  2. tokenizer-to-onnx-model tokenizer-to-onnx-model Public

    Convert Hugging Face tokenizers to ONNX models for cross-language compatibility (.NET, Java, Python) with embedding models

    Jupyter Notebook 24 2

  3. bge-m3-qdrant-sample bge-m3-qdrant-sample Public

    A demonstration of hybrid search with reranking using Qdrant and BGE-M3 model. A showcase of dense and sparse retrieval combined with ColBERT reranking for optimal search results

    Jupyter Notebook 11 1

  4. kernel-memory-ecommerce-sample kernel-memory-ecommerce-sample Public

    Kernel Memory. A sample project demonstrating AI-powered semantic search capabilities tailored for e-commerce websites, leveraging RAG (Retrieval-Augmented Generation) architecture

    C# 7 1

  5. go-qdrant-rag-sample go-qdrant-rag-sample Public

    This repository contains a Go application that demonstrates semantic product search and Retrieval-Augmented Generation using OpenAI's GPT and embedding models, with Qdrant as the vector database.

    Go 6

  6. bge-m3-onnx bge-m3-onnx Public

    ONNX implementation of the BGE-M3 multilingual embedding model and tokenizer. Generates all three embedding types: dense vectors, sparse weights, and ColBERT vectors

    Jupyter Notebook

Repositories

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