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Vye Logo

An Intelligent Content Intelligence Platform powered by RAG Architecture.


🚀 Overview

Vye is an AI-powered assistant designed to transform the way we consume video content. Built on a Retrieval-Augmented Generation (RAG) framework, Vye allows users to "interact" with a vast knowledge base extracted from YouTube channels, providing deep insights, summaries, and strategic analysis with zero hallucinations.

🧠 Core Capabilities

  • Channel Brain Mode: Queries the specific knowledge base of a channel using vector similarity search.
  • Deep Video Intelligence: Analyzes speaker tone, sarcasm, and executive-level business strategies.
  • Competitor Arena: Cross-references data and perspectives between different creators or topics.
  • Source Attribution: Every response includes "Sources & Evidence" to ensure factual accuracy based on transcripts.
  • Responsive Interface: Custom CSS-engineered UI that adapts perfectly to mobile and desktop screens.

🛠️ Technical Architecture

Vye processes long-form video transcripts into semantic chunks and stores them in a high-dimensional vector space.

  • LLM: Google Gemini 2.5 Flash.
  • Vector Database: Supabase with pgvector.
  • Embedding Model: Gemini Embedding-001 (3,072 dimensions).
  • Knowledge Depth: 3000+ Semantic chunks currently indexed.
  • Framework: Streamlit for a fast, responsive web interface.

⚙️ Engineering Highlights

  • Rate-Limit Management: Implemented customized "cooling down" periods and batch processing to optimize Google AI Studio's Free Tier limits.
  • Data Pipelines: Automated transcript extraction and cleaning using yt-dlp before vectorization.
  • UI/UX Engineering: Advanced CSS injection to handle Streamlit’s markdown containers for a modern chat experience.



📽️ LIVE DEMO VIDEO

See Vye in action: Witness the RAG architecture processing real-time queries.

Vye Demo Video

Watch on YouTube

(Click the image or the button above to play the full technical demonstration)

About

Vye: An AI-powered Content Intelligence Platform using RAG (Retrieval-Augmented Generation) to analyze, discuss, and extract deep insights from YouTube channel knowledge bases. Built with Gemini 1.5 Flash, Supabase Vector, and Streamlit.

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