最有价值项目

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

Shazam-inspired music recognition system — FAISS vector search + spectral fingerprinting, with CLAP/MuQ embeddings, FastAPI backend and React frontend.

Jigen DB is vector database written from scratch in c#

A lock-free, in-memory fuzzy search engine for Kotlin Multiplatform. L2-normalized sparse vector embeddings with O(1) cosine similarity — handles typos, transpositions, and blind continuation. Zero-allocation search via primitive arrays, reactive StateFlow results, and instant cold-start via JSONL import/export.

An AI-powered quote generator bot that posts beautiful quotes to various social media platforms!

Search your files by talking to them - 100% offline

A Model Context Protocol (MCP) server that provides agentic search capabilities with support for vector search using Qdrant, full-text search using TiDB, or both combined.

AI 面试训练系统：跨会话能力建模闭环 — LangGraph 编排 + 三层上下文融合出题 + Mem0 式画像更新 + RAG 知识增强 + SM-2 复习调度。FastAPI · React 19 · LlamaIndex · Qdrant

Local‑first MCP server for multi‑repository semantic code search with Qdrant and llama. Turns your entire workspace into private context for AI coding assistants like Claude Code, Codex, Cursor, Copilot, Antigravity and Windsurf.

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

Persistent local memory engine for OpenClaw — replaces default memory-system with a full context lifecycle: hybrid vector recall, automatic compaction, and domain-adaptive gating over LibraVDB

PostgreSQL Image with vecto.rs support based on CrunchyData Postgres images.

PHP Semantic Search Classes

Local AI server with persistent memory, RAG, and multi-backend inference (MLX / llama.cpp / Ollama). Runs entirely on your machine — zero data sent to external services.

Gemma 3 [ Image-text-text ] [ video inference ] [ multi image chat ]

LRCM: Listen to Rhythm, Choose Movements — Autoregressive Multimodal Dance Generation via Diffusion and Mamba

The source code for our Paper: ''Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities''.

This repo contains evaluation code for MM-IQ benchmark.

GDB: GraphicDesignBench - A real-world benchmark for evaluating AI on graphic design tasks

Chain of Images for Intuitively Reasoning