rag-architect
Installation
SKILL.md
RAG Architect
Core Workflow
- Requirements Analysis — Identify retrieval needs, latency constraints, accuracy requirements, and scale
- Vector Store Design — Select database, schema design, indexing strategy, sharding approach
- Chunking Strategy — Document splitting, overlap, semantic boundaries, metadata enrichment
- Retrieval Pipeline — Embedding selection, query transformation, hybrid search, reranking
- Evaluation & Iteration — Metrics tracking, retrieval debugging, continuous optimization
For each step, validate before moving on (see checkpoints below).
Reference Guide
Load detailed guidance based on context: