{"slug":"jeffallan-rag-architect","source_name":"jeffallan/rag-architect","name":"Jeffallan/RAG Architect","description":"Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.","version":2,"lift":{"pass_rate_delta_pts":40.91,"pass_rate_pct":86.4,"total_cases":22,"passed_cases":19,"tokens_delta_pct":52.6,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-11T21:35:12.751470+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":40.91,"with_pass_pct":86.4,"without_pass_pct":45.5,"tokens_delta_pct":52.6,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-11T21:35:12.751470+00:00","run_id":"a94e8db0-26e3-475d-ac2c-a7b934fa2c06","version_number":2,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"c855384dd3e8fb05658cf8b8b27c2f4f86e796963ad15ca47154c63079aba2fd","raw_url":"https://app.decimal.ai/s/jeffallan-rag-architect/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/jeffallan-rag-architect"}