development · Found in 4 repositories
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integr
View source: wshobson/agents ↗Install from source
Install using Skill Manager:
sk install https://github.com/wshobson/agents/tree/main/plugins/llm-application-dev/skills/rag-implementation/SKILL.mdSource-path status is inferred from metadata; it does not verify a live download. Scan and quality scores describe registry checks and are not a guarantee of safety.
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Exact Markdown body copies across 4 repositories. This count does not identify the original author.
- Dknight203/AesopIDE/.agent/skills/rag-implementation
- Dknight203/AesopIDE/.agents/skills/rag-implementation
- Dknight203/AesopIDE/.gemini/skills/rag-implementation
- duanbiao2000/obsidianDoc26/agents-main/plugins/llm-application-dev/skills/rag-implementation
- haxllo/repolens/.claude/skills/rag-implementation/SKILL.md
- haxllo/repolens/.gemini/skills/rag-implementation/SKILL.md
- haxllo/repolens/.opencode/skills/rag-implementation/SKILL.md
- wshobson/agents/plugins/llm-application-dev/skills/rag-implementation/SKILL.md