Semafind
探索 SemaDB 的強大功能，這是一款適用於 AI 應用的低成本、高性能向量資料庫。透過自然語言互動，發掘隱藏的關聯並優化您的搜尋體驗。
SingleStore
Semafind
| Launched | 2022-04-29 |
| Pricing Model | Freemium |
| Starting Price | £6 / user / month |
| Tech used | Google Analytics,Google Tag Manager,Google Fonts,Gzip,OpenGraph |
| Tag | Knowledge Management |
SingleStore
| Launched | 2004-02-04 |
| Pricing Model | Free Trial |
| Starting Price | |
| Tech used | Amazon AWS CloudFront,OpenGraph,Progressive Web App,Webpack,HSTS,Nginx |
| Tag | Data Pipelines,Vector Database |
Semafind Rank/Visit
| Global Rank | 15295437 |
| Country | |
| Month Visit | 1865 |
Top 5 Countries
47.1%
19%
17.85%
9.38%
6.67%
Turkey
Malaysia
Switzerland
United Kingdom
Sri Lanka
Traffic Sources
58.46%
41.54%
Referrals
Search
SingleStore Rank/Visit
| Global Rank | 182909 |
| Country | Indonesia |
| Month Visit | 283283 |
Top 5 Countries
41.68%
17.09%
4.22%
3.7%
3.43%
United States
India
Germany
United Kingdom
Canada
Traffic Sources
44.65%
39.88%
12.45%
2.89%
0.14%
Direct
Search
Social
Referrals
Mail
What are some alternatives?
When comparing Semafind and SingleStore, you can also consider the following products
Semantic Kernel - 探索語意核心 (SK) SDK 的強大功能—將 AI 大型語言模型與程式語言整合，釋放新的可能性與價值。
SvectorDB - SvectorDB 讓您在不到 120 秒的時間內就能設定無伺服器向量資料庫，非常適合用於 RAG 聊天機器人、文件搜尋及推薦。
Sematic - Sematic 是最簡單、最快速的 ML 團隊方法，可用於在開發人員盒子和雲端基礎架構上建構和執行訓練管道。
SuperDuperDB - 告別複雜的 MLOps 管線和專門的向量資料庫。僅使用 Python，即可直接將 AI 整合和訓練至您偏好的資料庫中。