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rag-implementation

wshobson/rag-implementation

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search.

communityprovisionaldataagent-skillsagentic-ai

skillrank score

██████████░░░░░░63

SkillRank score blends community stars, real usage, and our eval lift; provisional until a skill is evaluated -- so popularity alone can't reach the top tier.

source

★ 37.7k

wshobson/agents

plugins/llm-application-dev/skills/rag-implementation

open on GitHub ▸

eval status

eval pending

Success delta, token delta, and trial count are not available yet. No eval number is shown until this skill has measured results.

install

$ skillrank install wshobson/rag-implementation
$ curl -fsSL skillrank.dev | sh