RAG & retrieval

The top-rated launch-quality RAG & retrieval skill for AI agents is embedding-optimization (grade B), followed by nemo-retriever and pinecone. Skillspace rates 364 RAG & retrieval skills; 90 are launch-quality.

Retrieval-augmented generation, vector databases, chunking, embeddings pipelines and search quality.

Launch-quality skills first, then by grade, then by our Skill Score, which adds judge reviews, test results, GitHub stars and adoption.

  1. embedding-optimization B
  2. nemo-retriever B
  3. pinecone B
  4. chroma B
  5. document-brief B
  6. qdrant-vector-search B
  7. docsagent B
  8. rag-retrieval B
  9. letta-filesystem-to-memfs B
  10. graphmemory B
  11. creating-kb B
  12. clawos-rag B
  13. vector-search B
  14. rag-implementation C
  15. database-lookup C
  16. using-vector-databases C
  17. full-text-search C
  18. weknora-rag-search C
  19. rag-architect C
  20. llamaindex C
  21. autorag-lite-search C
  22. autorag-lite-setup C
  23. search-autocomplete C
  24. generate-rag-dataset C
  25. rag-architect C

Frequently asked questions

What is the best RAG & retrieval skill for AI agents?

The top-rated launch-quality RAG & retrieval skill for AI agents is embedding-optimization (grade B), followed by nemo-retriever and pinecone. Skillspace rates 364 RAG & retrieval skills; 90 are launch-quality.

How does Skillspace rate RAG & retrieval skills?

Skillspace grades every RAG & retrieval skill from A to F with a published scoring engine that reads the skill's SKILL.md: architecture and maturity make the score, and a security scan can cap it. In crowded categories, a judge model also compares the strongest contenders side by side, and some skills are tested head-to-head on real tasks against other skills in the same category (including a deliberately weak one) and a no-skill baseline. Launch-quality skills are graded A to C with a clean safety verdict, and not excluded by a quality filter: the filters catch skills our model's safety screen flags for prompt injection, guardrail bypass, harmful content or credential exposure; test fixtures and attack benchmarks; skills written only for the repository they live in; templates and stubs; and near-duplicate variants and copies of other skills. Ratings were last updated on 24 September 2026; the full method is on the methodology page.

Are RAG & retrieval skills safe to install?

Of the 364 RAG & retrieval skills Skillspace rates, 326 passed its safety scan and 38 are flagged: 6 for review, 24 as risky and 8 as unsafe. Each skill's page shows its safety verdict. A pass is not a guarantee: the scan reads only the skill's SKILL.md, not the scripts or other files it ships, and looks for patterns such as piping a remote script into a shell, reading credentials or hiding actions from the user. Skills are third-party code that Skillspace indexes but does not host or endorse, so read a skill's source on GitHub before you install it.

Skillspace indexes and rates skills; it does not host or endorse them. Run third-party skills at your own risk.