Supabase Vector
Vector database for Relevance AI
Supabase Vector
| Launched | 2017-09 |
| Pricing Model | Free |
| Starting Price | |
| Tech used | Next.js,Vercel,Progressive Web App,RSS,Webpack,HSTS |
| Tag | Vector Database |
Vector database for Relevance AI
| Launched | 2018-04 |
| Pricing Model | Free Trial |
| Starting Price | |
| Tech used | Google Analytics,Google Tag Manager,HubSpot Analytics,Webflow,Amazon AWS CloudFront,Cloudflare CDN,JSDelivr,Google Fonts,jQuery,Gzip,HTTP/3,OpenGraph,HSTS |
| Tag | Data Science,Vector Database,Data Analysis |
Supabase Vector Rank/Visit
| Global Rank | 2384 |
| Country | United States |
| Month Visit | 14491339 |
Top 5 Countries
Traffic Sources
Vector database for Relevance AI Rank/Visit
| Global Rank | 65699 |
| Country | United States |
| Month Visit | 619033 |
Top 5 Countries
Traffic Sources
Estimated traffic data from Similarweb
What are some alternatives?
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pgvectorscale - pgvectorscale builds on pgvector with higher performance embedding search and cost-efficient storage for AI applications.
pgvector - pgvector: An open-source vector similarity search tool for Postgres. Store vectors with data, support exact & approximate search, and perform distance calculations. Suitable for recommendation systems, image/text retrieval, and anomaly detection.
VectorDB - VectorDB is a simple, lightweight, fully local, end-to-end solution for using embeddings-based text retrieval.