rag-architect

github:Jeffallan/claude-skills · first committed 2025-12-25 · source · badge

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

Skill Health: not yet scored

Listed, not yet scored. This skill has no public model test yet. It is in the scoring queue; submitted skills go first, then the most-installed.

Version history

9 commits to this file on GitHub (newest first).

2026-10-03 · commit 958e60f · feat(skills): replace bare company link with maintainer credit
2026-10-03 · commit ec755b7 · chore: release v0.4.17 (#248)
2026-08-07 · commit d759b15 · fix(rag-architect): avoid hard-coded Cohere API key in reranking example (#216)
2026-04-29 · commit efebc44 · feat(skills): add canonical Documentation backlink to every SKILL.md
2026-03-06 · commit c7afefb · release v0.4.10: skill quality improvements and Description Trap refinement
2026-03-06 · commit cba3273 · feat: improve skill quality across 65 skills via tessl review and optimization
2026-02-02 · commit 7bbd06a · docs: restructure primary docs, workflow docs, and skill files
2026-02-02 · commit 5bf7075 · feat(metadata): add related-skills to skill frontmatter
2025-12-25 · commit e0c498f · feat: add 10 new skills for data/ML and platform development (#73-82)

Archived snapshots