Elasticsearch's vector database
利用 BM25 文本搜索领域的领导者 Elasticsearch 的开源矢量数据库构建矢量搜索和混合搜索。免费试用 Elasticsearch 的矢量数据库....
Vector database for Relevance AI
Elasticsearch's vector database
| Launched | 2010-7 |
| Pricing Model | Freemium |
| Starting Price | |
| Tech used | Google Analytics,Google Tag Manager,Optimizely,Google Fonts,Next.js,Emotion,Gzip,JSON Schema,OpenGraph,Progressive Web App,Varnish,Webpack,HSTS |
| Tag | Vector Database,Data Analysis |
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 |
Elasticsearch's vector database Rank/Visit
| Global Rank | 29863 |
| Country | United States |
| Month Visit | 1706536 |
Top 5 Countries
19.96%
8.53%
6.12%
4.67%
3.7%
United States
China
India
Korea, Republic of
United Kingdom
Traffic Sources
1.77%
0.82%
0.05%
7.31%
51.58%
38.46%
social
paidReferrals
mail
referrals
search
direct
Vector database for Relevance AI Rank/Visit
| Global Rank | 65699 |
| Country | United States |
| Month Visit | 619033 |
Top 5 Countries
15.11%
13.77%
7.34%
5.26%
5.08%
United States
India
United Kingdom
Cambodia
Australia
Traffic Sources
2.28%
0.63%
0.09%
5.34%
42.91%
48.75%
social
paidReferrals
mail
referrals
search
direct
Estimated traffic data from Similarweb
What are some alternatives?
When comparing Elasticsearch's vector database and Vector database for Relevance AI, you can also consider the following products
VectorDB - VectorDB 是一款简单、轻量级、完全本地化的端到端解决方案，用于基于嵌入的文本检索。
Vearch - Vearch：混合向量搜索数据库。融合相似度与标量过滤器，实现精准的 AI 搜索结果。轻松扩展，并提供 Python/Go SDK。
clientvectorsearch - 探索客户端向量搜索库：轻松嵌入、存储、搜索和缓存向量。通过高效的向量搜索功能增强您的应用程序。
Pgvecto.rs - PGVecto.rs 是一个 PostgreSQL 扩展，它支持可扩展的向量搜索，使您能够在 PostgreSQL 数据库之上构建强大的基于相似性的应用程序。