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Skill · #1144

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

7rigs use it
0%of all rigs
12.5kavg rig context tax

Get it

$ npx degit wshobson/agents/plugins/llm-application-dev/skills/rag-implementation .claude/skills/rag-implementation

From the most-starred rig that ships it: wshobson/agents. Same-named skills in different rigs may differ — review before use.

Often used together with

microservices-patterns · 5langchain-architecture · 5llm-evaluation · 5api-design-principles · 4error-handling-patterns · 4async-python-patterns · 4ml-pipeline-workflow · 4prompt-engineering-patterns · 4database-migration · 3cost-optimization · 3

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