Total words: 3039 | 2-word phrases: 795 | 3-word phrases: 891 | 4-word phrases: 921
Title | Try to keep the title under 60 characters (67 characters) Vector Database built for enterprise-grade AI applications - Zilliz |
Description | Try to keep the meta description between 50 - 160 characters (0 characters) |
Keywords | Meta keywords are not recommended anymore (0 characters) Fully managed Milvus |
H1 | H1 tag on the page (40 characters) The Most Widely-Adopted Vector Database. |
# | Keyword | H1 | Title | Des | Volume | Position | Suggest | Frequency | Density |
---|---|---|---|---|---|---|---|---|---|
1 | and | 28 | 6.48% | ||||||
2 | vector | 28 | 6.48% | ||||||
3 | search | 26 | 6.02% | ||||||
4 | the | 22 | 5.09% | ||||||
5 | zilliz | 21 | 4.86% | ||||||
6 | milvus | 18 | 4.17% | ||||||
7 | cloud | 17 | 3.94% | ||||||
8 | a | 16 | 3.70% | ||||||
9 | for | 16 | 3.70% | ||||||
10 | to | 15 | 3.47% |
# | URL | Whois | Check |
---|---|---|---|
1 | https://discord.com/invite/8uyFbECzPX | Whois | discord.com |
2 | https://milvus.io/docs#Get-Started | Whois | milvus.io |
3 | https://github.com/zilliztech/cloud-vectordb-examples/tree/master/python | Whois | github.com |
4 | https://www.youtube.com/c/MilvusVectorDatabase | Whois | youtube.com |
5 | https://www.linkedin.com/company/zilliz | Whois | linkedin.com |
6 | https://twitter.com/zilliz_universe | Whois | twitter.com |
7 | https://github.com/zilliztech | Whois | github.com |
8 | https://discord.com/invite/8uyFbECzPX | Whois | discord.com |
9 | https://github.com/zilliztech/ | Whois | github.com |