iblameandrew/spin-rag

Spin-RAG 🌀 is a novel RAG heuristic that densifies and rotates your data into different perspectives using foundational production rules - very nice to self heal damaged data

13
/ 100
Experimental

This tool helps organize and clarify unstructured text data, like documents or notes, by dynamically re-evaluating and connecting information. It takes in raw, potentially messy text and produces a more coherent and interconnected set of definitions and concepts. This is designed for anyone working with large volumes of text who needs to extract clear answers, even from incomplete or damaged source material.

No commits in the last 6 months.

Use this if you need to build a knowledge base from diverse, possibly incomplete, text sources and want a system that can continuously refine and connect information to provide clearer answers.

Not ideal if you primarily work with structured data or only need to retrieve exact matches from perfectly organized text without any need for contextual evolution or inference.

knowledge-management information-retrieval data-consolidation text-analysis documentation-processing
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 7 / 25
Community 0 / 25

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Language

Python

License

Last pushed

Sep 23, 2025

Commits (30d)

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