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A sophisticated RAG intelligence engine for Singaporean laws, policies, and history. Comes with a triple-AI failover backend (Gemini/Llama/Groq), semantic embeddings using FAISS, and an Apple-inspired interactive UI. Designed with precision and high availability in mind.

76 starsPython

Built an webpage to show Singaporean infra and laws

by Goodguy27·Feb 15, 2026·3 points·2 comments
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AI Analysis

●MidNiche GemWizardry
The Take

Triple-LLM failover (Gemini → Llama 3.3 via OpenRouter → Groq), local BGE‑M3 embeddings and FAISS-backed retrieval show someone thought about latency and uptime, not just model demos. The README brags about 33k pages and 'non-hallucination' claims but stops short of evaluation details or realistic ops guidance — running 70B models and local embedding stacks is impressive on paper but a heavy lift in practice.

Category
AI/ML
Target Audience

Legal researchers, policy analysts, civic tech developers, and people building domain-specific RAG systems for Singapore

Post Description

Hello guys I have worked hard on this project as this is my first opensource project I want to get as my feedbacks and suggestions possible to improve the platform See ya

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