Supabase Vector VS Vector database for Relevance AI

Let’s have a side-by-side comparison of Supabase Vector vs Vector database for Relevance AI to find out which one is better. This software comparison between Supabase Vector and Vector database for Relevance AI is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Supabase Vector or Vector database for Relevance AI fits your business.

Supabase Vector

Supabase Vector
Build powerful AI applications with Supabase Vector. Store, query, and index vector embeddings using Postgres and Supabase's AI toolkit.

Vector database for Relevance AI

Vector database for Relevance AI
Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.

Supabase Vector

Launched 2017-09-24
Pricing Model Free
Starting Price
Tech used Next.js,Vercel,Gzip,OpenGraph,Progressive Web App,RSS,Webpack,HSTS
Tag Vector Database

Vector database for Relevance AI

Launched 2018-04-30
Pricing Model Free Trial
Starting Price
Tech used Google Analytics,Google Tag Manager,HubSpot Analytics,Webflow,Amazon AWS CloudFront,Cloudflare CDN,Google Fonts,jQuery,Gzip,HTTP/3,OpenGraph
Tag Vector Database

Supabase Vector Rank/Visit

Global Rank 13981
Country United States
Month Visit 3344710

Top 5 Countries

9.57%
7.73%
5.75%
5.2%
5.04%
United States Colombia Germany Brazil India

Traffic Sources

71.03%
22.4%
2.57%
2.29%
1.69%
0.01%
Direct Search Social Referrals Mail Paid Referrals

Vector database for Relevance AI Rank/Visit

Global Rank 264023
Country United States
Month Visit 150799

Top 5 Countries

24.38%
11.74%
9.59%
5.78%
5.25%
United States Germany Australia United Kingdom France

Traffic Sources

59.32%
28.64%
9.28%
1.41%
1.35%
Direct Search Social Referrals Mail

What are some alternatives?

When comparing Supabase Vector and Vector database for Relevance AI, you can also consider the following products

Elasticsearch's vector database - Build vector search and hybrid search with Elasticsearch's open source vector database — from the leaders in BM25 text search. Try Elasticsearch's vector database, free....

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.

SvectorDB - SvectorDB allows you to set up a serverless vector database in under 120 seconds, perfect for RAG chatbots, document search, and recommendations.

SingleStore - Build on the only database that allows you to transact, analyze and contextualize your data in real time.

More Alternatives