rag-retrieval
rag-retrieval is a RAG & retrieval skill for AI agents, published by yonatangross in the orchestkit repository on GitHub. Skillspace rates rag-retrieval B (88/100) and it passed the safety scan; the rating is based on static analysis only.
Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, embedding documents, implementing hybrid search, contextual retrieval, HyDE, agentic RAG, multimodal RAG, query decomposition, reranking, or pgvector search.
- Grade
- B
- Quality
- 88 / 100
- Safety
- Passed
- GitHub stars
- 203
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General RAG retrieval patterns for any LLM pipeline
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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