Semafind
Discover the power of SemaDB, the low-cost, high-performance vector database for AI applications. Uncover hidden connections and enhance your search experience with natural language interaction.
SvectorDB
SvectorDB allows you to set up a serverless vector database in under 120 seconds, perfect for RAG chatbots, document search, and recommendations.
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 |
SvectorDB
| Launched | 2023-12 |
| Pricing Model | Free Trial |
| Starting Price | |
| Tech used | |
| Tag | 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
SvectorDB Rank/Visit
| Global Rank | 8020761 |
| Country | United States |
| Month Visit | 2424 |
Top 5 Countries
40.18%
24.02%
14.41%
12.52%
8.86%
United States
India
Australia
Singapore
United Arab Emirates
Traffic Sources
72.27%
15.12%
6.97%
5.64%
Social
Direct
Referrals
Search
What are some alternatives?
When comparing Semafind and SvectorDB, you can also consider the following products
Semantic Kernel - Discover the power of Semantic Kernel (SK) SDK – integrating AI Large Language Models with programming languages, unlocking new potential and value.
Sematic - Sematic is the easiest and fastest way for ML teams to build and execute training pipelines across their dev box and cloud infrastructure.
SingleStore - Build on the only database that allows you to transact, analyze and contextualize your data in real time.
SuperDuperDB - Say goodbye to complex MLOps pipelines and specialized vector databases. Integrate and train AI directly with your preferred database, only using Python.