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.
Semantic Kernel
Discover the power of Semantic Kernel (SK) SDK – integrating AI Large Language Models with programming languages, unlocking new potential and value.
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 |
Semantic Kernel
| Launched | 2023 |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag | Semantic Search |
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
Semantic Kernel Rank/Visit
| Global Rank | 0 |
| Country | |
| Month Visit | 0 |
Top 5 Countries
Traffic Sources
What are some alternatives?
When comparing Semafind and Semantic Kernel, you can also consider the following products
SvectorDB - SvectorDB allows you to set up a serverless vector database in under 120 seconds, perfect for RAG chatbots, document search, and recommendations.
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.