Scale vector similarity search for AI applications
Milvus is a high-performance vector database that helps you store and search through massive datasets of vectors efficiently. It's perfect for AI developers building things like recommendation systems or image search tools. With easy deployment options, you can start small for prototyping and scale up to handle billions of vectors for production use.
Handle billions of vectors with elastic distributed deployment
Retrieve data quickly using global indexing for accurate results
Write code once and deploy easily across different environments
Includes metadata filtering, hybrid search, and multi-vector support
This tool is best for:
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Recent data shows that Milvus has 556.0K monthly visits (-0.2% decrease from the previous month), 50.0% bounce rate, and average 2.27 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by China contributing 30% of total traffic. SEO performance is shown by 5 tracked keywords, with "milvus" being the top-performing keyword with 31.6K monthly searches. See below for more info.
Monthly Visits
556.0K
Pages per Visit
2.27
Bounce Rate
50.0%
Average Time on Site
1m 59s
| SEO Keyword | Volume | CPC |
|---|---|---|
| milvus | 31.6K | $1.61 |
| nano banana | 9.3M | - |
| gemini cli update | 10.0K | - |
| milvus vector database | 1.6K | $2.79 |
| milvus docker | 630 | - |
| Source | Traffic Share |
|---|---|
| Direct | 41% |
| Search | 49% |
| Social | 1% |
| Referrals | 8% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 30% |
 | 13% |
 | 5% |
 | 4% |
 | 4% |
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How to use: Simply copy and paste the embed code into your homepage or footer HTML to display it instantly and build community support.
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