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.
Supabase Vector
Build powerful AI applications with Supabase Vector. Store, query, and index vector embeddings using Postgres and Supabase's AI toolkit.
pgvector
| Launched | 2023 |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag | Vector Database |
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 |
pgvector Rank/Visit
| Global Rank | 0 |
| Country | |
| Month Visit | 0 |
Top 5 Countries
Traffic Sources
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
What are some alternatives?
When comparing pgvector and Supabase Vector, you can also consider the following products
clientvectorsearch - Discover the client-vector-search library: embed, store, search, and cache vectors effortlessly. Enhance your applications with efficient vector search capabilities.
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....
Lantern - Lantern is a Postgres vector database that is scalable, cost-effective, and easy to use
Vector database for Relevance AI - Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.