Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: embedding-vectors

英語版ディレクトリ

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

17K
Stars
87/100
信頼
カテゴリ: rag-knowledge監査

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

15K
Stars
86/100
信頼
カテゴリ: document-processing監査

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding

9.7K
Stars
86/100
信頼
カテゴリ: ml-automation監査
Yn77

A highly extensible Markdown editor. Version control, AI Copilot, mind map, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, Reveal.js, plug-in, and macro replacement.

6.6K
Stars
77/100
信頼
カテゴリ: document-processing監査

Find related notes and excerpts while writing. Your link building copilot displays relevant content in graph + list view. A local embedding model powers semantic search. Zero setup. No API key.

5.2K
Stars
72/100
信頼
カテゴリ: rag-knowledge監査

Semantic search over videos using Gemini Embedding 2 or Qwen3-VL.

4.3K
Stars
80/100
信頼
カテゴリ: rag-knowledge監査

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

4.2K
Stars
83/100
信頼
カテゴリ: rag-knowledge監査

MTEB: Massive Text Embedding Benchmark

3.3K
Stars
80/100
信頼
カテゴリ: rag-knowledge監査

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

3.1K
Stars
77/100
信頼
カテゴリ: data監査

🕵️‍♂️ (2-in-1) Email & Username OSINT suite for deep data extraction. Analyzes 240+ scan vectors (100+ email / 140+ username) for security research, investigations, and digital footprinting.

2.2K
Stars
84/100
信頼
カテゴリ: security監査

Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/

1.3K
Stars
83/100
信頼
カテゴリ: rag-knowledge監査

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.

1.3K
Stars
80/100
信頼
カテゴリ: media-automation監査