Build a RAG (retrieval-augmented generation) pipeline or a custom search engine on top of Bright Data's Discover API — using intent-ranked web results + parsed page content as the retrieval/ingestion layer for an LLM or vector store.
Install
npx skills add brightdata/skills --skill rag-pipelinenpx skills add brightdata/skills --skill rag-pipeline -a claude-code -gnpx skills add brightdata/skills --skill rag-pipeline -a codex -ggemini skills install https://github.com/brightdata/skills.git --path skills/rag-pipelinegh skill install brightdata/skills rag-pipelinegit clone --depth 1 https://github.com/brightdata/skills /tmp/brightdata__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/brightdata__skills/skills/rag-pipeline ~/.claude/skills/rag-pipeline # Claude Code
cp -R /tmp/brightdata__skills/skills/rag-pipeline ~/.agents/skills/rag-pipeline # Codex, Cursor, Gemini CLI, Copilot, OpenCode