Qdrant

Qdrant is an Open-Source Vector Database and Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.

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At a glance: Qdrant

At a glance: Qdrant
Product websitehttps://qdrant.io/
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Overview

What is Qdrant?

Qdrant is an Open-Source Vector Database and Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.

How to use Qdrant?

To use Qdrant, you can pull the Qdrant image from Docker and run it. Alternatively, you can follow the Quick Start Guide or the step-by-step Tutorial to build your own neural search.

Qdrant 's Use Cases

#1 Similar Image Search #2 Semantic Text Search #3 Recommendations

Qdrant 's Core Features

Fast and scalable vector similarity search Support for vector embeddings and neural network encoders Easy-to-use API with OpenAPI v3 specification Fast and accurate search with a custom modification of the HNSW algorithm Filterable results based on payload values Support for rich data types and query conditions Distributed and cloud-native architecture Efficient utilization of computational resources

FAQ from Qdrant

What is Qdrant? How can I use Qdrant? What are the core features of Qdrant?

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See Also

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Sources and verification

Product reference: Qdrant — Product website.

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