langchain - 💡(How to fix) Fix VORTEXRAG integration request — 7-layer RAG with formal semantic drift elimination

StepCodex · 2026-06-07T11:11:59Z

[langchain] Feature Request: VORTEXRAG Retriever Integration VORTEXRAG is a new open-source 7-layer RAG framework that could be integrated as a LangChain retri… ## Feature Request: VORTEXRAG Retriever Integration **VORTEXRAG** is a new open-source 7-layer RAG framework that could be integrated as a LangChain retriever/chain component. ### What VORTEXRAG brings to LangChain - Drop-in replacement for standard retrievers with formal drift/poisoning guarantees - 11 domain presets (medical, legal, financial, etc.) tunable via single param - Post-generation faithfulness verification gate (ΔR ≤ 0.15) - 2.2× faster than Self-RAG at equivalent quality ### Performance | Metric | VORTEXRAG | Standard RAG | |--------|-----------|-------------| | EM | 74.8 | 61.2 | | F1 | 82.6 | 69.4 | | Faithfulness | 0.94 | 0.71 | ### Links - GitHub: https://github.com/vignesh2027/VORTEXRAG - Paper: https://doi.org/10.5281/zenodo.20579702 - License: MIT

langchain2026-06-07 11:11:59

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Feature Request: VORTEXRAG Retriever Integration

VORTEXRAG is a new open-source 7-layer RAG framework that could be integrated as a LangChain retriever/chain component.

What VORTEXRAG brings to LangChain

Drop-in replacement for standard retrievers with formal drift/poisoning guarantees
11 domain presets (medical, legal, financial, etc.) tunable via single param
Post-generation faithfulness verification gate (ΔR ≤ 0.15)
2.2× faster than Self-RAG at equivalent quality

Performance

Metric	VORTEXRAG	Standard RAG
EM	74.8	61.2
F1	82.6	69.4
Faithfulness	0.94	0.71

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