rag-systems
Build RAG systems - embeddings, vector stores, chunking, and retrieval optimization
浏览 pluginagentmarketplace 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
678收录技能的仓库 Stars 合计
1,622仓库 Forks
216平均每个技能的仓库 Stars
2同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Build RAG systems - embeddings, vector stores, chunking, and retrieval optimization
Implement agent memory - short-term, long-term, semantic storage, and retrieval
Ensure agent safety - guardrails, content filtering, monitoring, and compliance
Master AI agent fundamentals - architectures, ReAct patterns, cognitive loops, and autonomous system design
Integrate LLMs into applications - APIs, prompting, fine-tuning, and context management
Build multi-agent systems - orchestration, coordination, workflows, and distributed architectures
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。