Sample of how vector embeddings works using OpenAI API, OpenRouter and Supabase pgvector.
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Updated
Aug 16, 2026 - JavaScript
Sample of how vector embeddings works using OpenAI API, OpenRouter and Supabase pgvector.
📬 Deterministic & programmatic Gmail → Supabase → Crawl4AI vector knowledge base for UC Berkeley MIDS.
A CLI-based RAG (Retrieval-Augmented Generation) application using Supabase as a vector database for semantic search and OpenAI for answer generation.
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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