Milvus85
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
45K
Stars
85/100
Trust
Kategorie: dataAudit
Skill-Verzeichnis
Wiederverwendbare Skills für AI Agents entdecken.
Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.
Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.
Suchergebnisse: milvus-lite
Englisches VerzeichnisWebsoft977
Applications self-hosting and DevOps platform for running open source, web-based linux Panel of lite PaaS
2.1K
Stars
77/100
Trust
Kategorie: devopsAudit
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
12K
Stars
86/100
Trust
Kategorie: document-processingAudit
Query git repositories with SQL. Generate reports, perform status checks, analyze codebases. 🔍 📊
3.5K
Stars
77/100
Trust
Kategorie: data-analysisAudit
Attu69
The Best GUI for Milvus
3.0K
Stars
69/100
Trust
Kategorie: rag-knowledgeAudit
Fathom84
Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.
8.0K
Stars
84/100
Trust
Kategorie: legal-complianceAudit
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.
2.1K
Stars
79/100
Trust
Kategorie: rag-knowledgeAudit
Ego Lite74
The best browser for both you and your AI agents work in parallel.
7.9K
Stars
74/100
Trust
Kategorie: agent-frameworksAudit
Pymilvus76
Python SDK for Milvus Vector Database
1.4K
Stars
76/100
Trust
Kategorie: rag-knowledgeAudit
可能是最深度的 AI 投研报告 Skill：九章个股深研 + 九章财报深度分析，脚本化 DCF/EPV 与可复算估值
234
Stars
75/100
Trust
Kategorie: utilityAudit
Bootcamp83
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
2.4K
Stars
83/100
Trust
Kategorie: rag-knowledgeAudit
Two Claude Skills that turn agents into AI film directors, providing cinematic dramaturgy and exact prompt syntax for major video/image models.
118
Stars
76/100
Trust
Kategorie: design-creativeAudit