rag-retrieval

Maintained by OrchestKit

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.

AI & Machine Learning Retrieval-augmented Generation

Current version: 2.0.0
License: MIT
Network access: Unknown / not assessed
Review status: Not verified

Problem it solves

This catalog entry helps users find and evaluate rag-retrieval for the task described by its available catalog summary. Confirm the exact scope in the linked original source when one is available.

When to use it

Consider rag-retrieval when its available catalog summary matches the task at hand. When available, review the linked original source before use for precise instructions, requirements, and limitations.

rag-retrieval is listed as an agent skill in RefHub. The listed maintainer is OrchestKit. The available catalog summary is: 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. When available, review the linked original source for exact usage instructions, required tools, and limitations.

Installation and updates

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Install command

npx skills add yonatangross/orchestkit --skill rag-retrieval -y

Agent compatibility

No compatibility test has been recorded

Do not assume agent compatibility until documented test evidence is available.