jbvc/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 integrating LLMs with external knowledge bases.
65
Quality
65%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Securityby
Risky
Do not use without reviewing
tile.json
{
"name": "jbvc/rag-implementation",
"version": "0.1.0",
"private": false,
"summary": "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 integrating LLMs with external knowledge bases.",
"skills": {
"rag-implementation": {
"path": "SKILL.md"
}
}
}