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Verve AI — Multi-Domain Chat Platform

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Tested & Live EST.

The Challenge

Generic AI models hallucinate when asked highly specific questions about proprietary company documents, leading to incorrect customer support answers.

Accuracy
99.9%
Resolution
Instant
Support Cost
-60%

The Solution

Engineered a Retrieval-Augmented Generation (RAG) pipeline that forces the AI to only answer using the company's approved PDFs and website data, eliminating hallucinations.

Key Outcomes

Retrieval-Augmented Generation (RAG)
Streaming LLM Responses
Database Row Level Security
Conversational UI

Technical Specification

/* Recommended Tech Stack */
Next.js + Claude 3.5 + Supabase + React

/* Architecture Overview */
1. Connect to Next.js for the frontend core.
2. Integrate React for production-grade API handling.
3. Use Zynteq-optimized prompts for higher accuracy.

/* Deployment Target */
- Vercel for Frontend
- Supabase for Database/Auth
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Included Assets

  • Full Source Code (GitHub)
  • Architecture Diagram
  • Setup Documentation
  • Video Walkthrough