Infrastructure Vector - Moozonian Search

GitHub Repo https://github.com/Corpus-OS/corpusos

Corpus-OS/corpusos

Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP. 3,330+ conformance tests. One protocol. Any framework. Any provider.

GitHub Repo https://github.com/rhino-acoustic/NeuronFS

rhino-acoustic/NeuronFS

mkdir beats vector DB. B-tree NeuronFS: 0-byte folders govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.

GitHub Repo https://github.com/lspecian/vexfs

lspecian/vexfs

VexFS is a Linux kernel-native file system with built-in vector search and semantic memory. Designed for AI agents, RAG, and LLM workloads, it merges POSIX storage with vector-native indexing. Built in Rust, bootable via QEMU, and engineered for AGI infrastructure.

GitHub Repo https://github.com/epsilla-cloud/vectordb

epsilla-cloud/vectordb

Epsilla is a high performance Vector Database Management System

GitHub Repo https://github.com/tsypuk/multicloud-diagrams

tsypuk/multicloud-diagrams

PyPI package to draw AWS infrastructure diagrams in popular drawio vector editable format

GitHub Repo https://github.com/ruvnet/VIVIAN

ruvnet/VIVIAN

VIVIAN: Vector Index Virtual Infrastructure for Autonomous Networks

GitHub Repo https://github.com/aws-samples/sample-genai-on-eks-starter-kit

aws-samples/sample-genai-on-eks-starter-kit

A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: 🚀 AI Gateway (LiteLLM) 🤖 LLM Serving (vLLM, SGLang, Ollama) 📊 Vector Databases, 🔍 Embedding Models (TEI) 📈 Observability (Langfuse, Phoenix) etc. Fast-track your GenAI deployment with Kubernetes

GitHub Repo https://github.com/OpenSeaMap/vectortiles-generator