ai-llm · Found in 8 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: apassuello/multimodal_insight_engine ↗Install from source
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sk install https://github.com/apassuello/multimodal_insight_engine/tree/main/.claude/skills/rag-implementationSource-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 8 repositories. This count does not identify the original author.
- ACGSpgp/ACGS/.agent/workflows/llm-application-dev/1.2.1/skills/rag-implementation
- Krosebrook/source-of-truth-monorepo/plugins/marketplaces/ando-marketplace/plugins/llm-application-dev/skills/rag-implementation/SKILL.md
- aisa-group/skill-inject/data/skills/rag-implementation/SKILL.md
- apassuello/multimodal_insight_engine/.claude/skills/rag-implementation
- as4584/antigravity-skills/agents-wshobson/plugins/llm-application-dev/skills/rag-implementation/SKILL.md
- goodnight000/KittyCourt/.codex/skills/rag-implementation
- ollieb89/vibe_coding/.agent/rules/llm-application-dev/skills/rag-implementation
- pelan05/vscode_agents_folder/skills/rag-implementation/SKILL.md