rag-implementation
NewBuild 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.
Install & Usage
mkdir -p .claude/skillsmkdir -p .claude/skills && curl -o .claude/skills/rag-implementation.md https://raw.githubusercontent.com/wshobson/agents/main/plugins/llm-application-dev/skills/rag-implementation/SKILL.md/rag-implementationFrequently Asked Questions
What is 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.
How to install rag-implementation?
To install rag-implementation, create the .claude/skills directory in your project, then run the curl command to download the skill file. Once installed, invoke it in Claude Code with /rag-implementation.
What is rag-implementation best for?
rag-implementation is a community categorized under General. It is designed for: documentation, ai-&-ml. Created by wshobson.