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By alirezarezvani

rag-architect

alirezarezvani621 installs

A document search design tested on your corpus.

What it does

Creates corpus-based RAG pipeline designs with chunking recommendations and retrieval evaluation reports.

When to use it

Use to design RAG pipelines, choose chunking strategies, embedding models or vector databases, or evaluate retrieval quality.

How to use it

Give it a document corpus and requirements; it produces local JSON reports covering chunking, pipeline design, and retrieval evaluation.

What you provide

  • Your files

Latest review

What you need · 1

Requires Python 3 to run the bundled analysis, design, and evaluation scripts.


Access · 1

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