semantic-search

⚡ Vectro: Lightning-fast embedding quantization. Hit 12M+ vec/s throughput (4.85× faster than FAISS C++) while drastically cutting memory footprint for vector databases and local AI research.

MCP server that exposes Obsidian Smart Connections vector database to Claude Code via semantic search

OpenViking knowledge base integration for nanobot — RAG augmentation, semantic search, vector embeddings, document indexing. Free models on SiliconFlow.

PHP Semantic Search Classes

A semantic file retrieval application based on LLM（一个轻量级基于大模型解析的多模态文件语义检索工具，不同于传统基于文件名或metadata检索的方式，该工具可实现基于文件内容的语义检索，支持各类主流格式文档、图片、音频、视频。)