MLX-powered Qwen3 embedding server for Apple Silicon Macs. Features 0.6B/4B/8B models, 44K tokens/sec throughput, REST API, batch processing, and model hot-swapping, and more
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Updated
Aug 9, 2025 - Python
MLX-powered Qwen3 embedding server for Apple Silicon Macs. Features 0.6B/4B/8B models, 44K tokens/sec throughput, REST API, batch processing, and model hot-swapping, and more
MCP server that gives AI agents semantic search tool. Builds AST, call graphs, type graphs, and hybrid semantic search — so your agent queries structured indexes instead of dumping files into context. 7 languages. Zero config. One command setup.
AI Powered Ethereum Intelligence API
Lightweight, fast, secure, and free document chat system powered by Qwen AI and TurboVec search.
Semantic duplicate bug-report detection running fully in the browser — Qwen3 embeddings (recall) + Qwen3 reranker (precision) on WebGPU via Transformers.js
Use this advanced node (tool or embedding) for Qwen3 embeddings (fit all sizes, tested with 0.6B) install this as a community node into n8n from npm (n8n-nodes-qwen-embedding)
基于 Qwen3-Embedding 模型构建的高性能文本向量化服务,使用 FastAPI 提供 RESTful 接口,支持 ONNX 模型的转换和推理加速。
Llama 3.2 and qwen3 embedding model were used Locally for implementing RAG on pizza reviews file
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