[GH-ISSUE #865] Add VORTEXRAG — 7-Layer RAG with Semantic Drift + Context Poisoning elimination #9727

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GiteaMirror · 2026-06-12T10:25:28-05:00

GiteaMirror commented

2026-06-12 10:25:28 -05:00

Originally created by @vignesh2027 on GitHub (Jun 7, 2026).
Original GitHub issue: https://github.com/Shubhamsaboo/awesome-llm-apps/issues/865

VORTEXRAG — Open Source RAG Framework

VORTEXRAG is a complete 7-layer RAG framework that solves two fundamental problems:

Semantic Drift — retrieves causally-relevant chunks, not just topically similar ones
Context Window Poisoning — provably-optimal purging of low-signal chunks

Key Results

EM: 74.8 (+13.6 vs Naive RAG, +6.4 vs Self-RAG)
F1: 82.6 | Faithfulness: 0.94
Latency: 185ms (2.2× faster than Self-RAG)
229 unit tests, MIT license, Python 3.10–3.13

Links

Code: https://github.com/vignesh2027/VORTEXRAG
Paper: https://doi.org/10.5281/zenodo.20579702
Demo: https://huggingface.co/spaces/vigneshwar234/VORTEXRAG

Would love to be added to the RAG or LLM apps section!

Originally created by @vignesh2027 on GitHub (Jun 7, 2026). Original GitHub issue: https://github.com/Shubhamsaboo/awesome-llm-apps/issues/865 ## VORTEXRAG — Open Source RAG Framework VORTEXRAG is a complete 7-layer RAG framework that solves two fundamental problems: 1. **Semantic Drift** — retrieves causally-relevant chunks, not just topically similar ones 2. **Context Window Poisoning** — provably-optimal purging of low-signal chunks ### Key Results - EM: **74.8** (+13.6 vs Naive RAG, +6.4 vs Self-RAG) - F1: **82.6** | Faithfulness: **0.94** - Latency: **185ms** (2.2× faster than Self-RAG) - 229 unit tests, MIT license, Python 3.10–3.13 ### Links - **Code:** https://github.com/vignesh2027/VORTEXRAG - **Paper:** https://doi.org/10.5281/zenodo.20579702 - **Demo:** https://huggingface.co/spaces/vigneshwar234/VORTEXRAG Would love to be added to the RAG or LLM apps section!

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Reference: github-starred/awesome-llm-apps#9727