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Qdrant
Open-source vector database and vector search engine written in Rust, designed to provide fast and scalable vector similarity search services. Key features include cloud-native scalability, high availability, and efficient handling of large-scale vector data, differentiating it from competitors by its performance and scalability. Qdrant is particularly useful for applications requiring high-performance vector search capabilities, such as machine learning, recommendation systems, and data analysis.
Qdrant was discovered on October 10th 2022 and it currently has a search volume of 22.2K with a growth of +500%.
Growth
- Exploding
- Regular
- Peaked
Speed
- Exponential
- Constant
- Stationary
Seasonality
- High
- Medium
- Low
Volatility
- High
- Average
- Low
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