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MinishLab
Fast State-of-the-Art Static Embeddings
OPENAGENTSKILL / DIRECTORY
为下一项任务找到合适的技能。探索适用于 Codex、Claude Code、Cursor 等 Agent 的工具。
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查看技能说明MinishLab
Fast State-of-the-Art Static Embeddings
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MTEB: Massive Text Embedding Benchmark
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Fast, Accurate, Lightweight Python library to make State of the Art Embedding
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🔍 Tiny, full-text search engine for static websites built with Rust and Wasm
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AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
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Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.
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查看技能说明NovaSearch-Team
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.