Qdrant is an open-source vector database and search engine built with Rust. It provides a fast and scalable way to find similar vectors, and its easy-to-use API makes it simple to ..
Qdrant is an open-source vector database and search engine built with Rust. It provides a fast and scalable way to find similar vectors, and its easy-to-use API makes it simple to access all its features.
How to use
You can either download the Qdrant image from Docker and run it, or follow the Quick Start Guide and step-by-step Tutorial to build your own neural search solution.
Useful cases
Recommendations, semantic text search, and finding similar images are just some of the things it can do.
Core features
It's a distributed, cloud-native framework that makes efficient use of resources. It has an easy-to-use API that follows OpenAPI v3 standards, and supports many different data types and query options. You'll get accurate and speedy searches, thanks to a custom tweak of the HNSW algorithm. Plus, you can filter results based on their attributes, and it works great with vector embeddings and neural network encoders, providing really fast and scalable vector similarity search.
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