claude

agent-kit-rag

RAG specialists: architecture, OCR (Arabic/English), ingestion, hybrid retrieval with RRF, and evaluation.

0 on GitHubv0.2.0MITupdated 1 month agoai
/

Plugin agent-kit-rag from marketplace agent-kit in Abdelrahman-sadek/AUC-starterkit. Commands read from the repo's manifest — 26 days ago.

What it installs

Subagents (5)

  • ocr-document-engineer

    Use when documents are scanned, photographed, or have broken text layers (Arabic/English PDFs, images) — picks the OCR engine, extracts clean text, verifies quality.

  • rag-architect

    Use when designing or fixing a Retrieval-Augmented Generation system end to end — chunking, embeddings, hybrid search, reranking, citations, evals.

  • rag-evaluator

    Use when measuring a RAG system — retrieval recall and MRR, citation accuracy, faithfulness, key facts, and correct refusals on a golden set.

  • rag-ingestion-engineer

    Use when loading documents into a RAG index — parsing, cleaning, sentence-aware chunking, metadata, injection quarantine, dedup, and refresh.

  • rag-retrieval-engineer

    Use when RAG returns irrelevant, missing, or wrong-language chunks — tunes query rewriting, hybrid fusion, filters, k, and reranking.

View source on GitHub

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