Evidence-driven RAG: measurable quality, predictable cost, and days-not-weeks iteration.
My Channel: Noesis Noema App Guide
Watch step-by-step videos guiding the Noesis Noema App project.
Proof
Retrieval Quality
mAP@10 +8–15% vs BM25-only
Latency (p95)
−32% with hybrid caching
Cost/1K queries
$0.0X – $0.1X (model/runtime dependent)
Numbers are representative; reproducible scripts in repo.
Our Genesis
A human builds with generative AI. Tools like ChatGPT help design, draft, and iterate at high speed. One human sets taste and direction; AI accelerates drafting, refactoring, and repetitive work.
The aim is radical efficiency—shorter idea‑to‑deploy cycles, tighter feedback loops, and measurable gains across content, code, and experiments.
Workflow Loop
Ideate → Generate → Critique → Integrate. A fast loop for compounding velocity.
Toolchain
Hybrid retrieval, efficient runtimes, lightweight agents.
RAG.Fish Hacker Group
OpenFire Exploit Suite — Debut
Responsible research tooling: offensive techniques documented & released so defenders can harden before adversaries iterate.
Features
RAG.fish ships in the open. Track real milestones—no slideware.
Focus: higher‑quality retrieval, multi‑tenant knowledge spaces, per‑user grounding, mobile‑first chat.
Personalized Retrieval
Answers matched to user/org context reduce noise.
Coming soonPlayground
Constrained demo with sample data.
Coming soonSecurity Research
Responsible offensive tooling surfaces gaps before adversaries do—released with clear educational intent.
Openfire Exploit Suite
Offensive suite targeting Openfire CVEs. Includes Burp plugin, Metasploit modules, Python PoC, and Bash recon tools.
Changelog
- 2025-09-05
Add Proof metrics section & feature expansion
View release notes → - 2025-09-04
Introduce teaser filter tabs & hashtag search chips
View release notes → - 2025-09-03
Hero copy refresh + Discord CTA
View release notes →