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<!-- AUTO-GENERATED by export-plugins.py — DO NOT EDIT -->
---
name: rag-implementation
description: 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.
tags: [ai, rag]
---

# RAG Implementation

Master Retrieval-Augmented Generation (RAG) to build LLM applications that provide accurate, grounded responses using external knowledge sources.

## Use this skill when

- Building Q&A systems over proprietary documents
- Creating chatbots with current, factual information
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