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.
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
| Launched | 2023 |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag | Vector Database |
Elasticsearch's vector database
| Launched | 2010-7 |
| Pricing Model | Freemium |
| Starting Price | |
| Tech used | |
| Tag | Vector Database |
pgvector Rank/Visit
| Global Rank | 0 |
| Country | |
| Month Visit | 0 |
Top 5 Countries
Traffic Sources
Elasticsearch's vector database Rank/Visit
| Global Rank | 27967 |
| Country | United States |
| Month Visit | 2177898 |
Top 5 Countries
14.97%
14.16%
7.4%
4.26%
3.85%
United States
China
India
France
Korea, Republic of
Traffic Sources
55.79%
36.27%
5.39%
1.94%
0.5%
0.11%
Search
Direct
Referrals
Social
Mail
Paid Referrals
What are some alternatives?
When comparing pgvector and Elasticsearch's vector database, you can also consider the following products
Supabase Vector - Build powerful AI applications with Supabase Vector. Store, query, and index vector embeddings using Postgres and Supabase's AI toolkit.
clientvectorsearch - Discover the client-vector-search library: embed, store, search, and cache vectors effortlessly. Enhance your applications with efficient vector search capabilities.
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.