Qdrant

Qdrant is an open-source vector database and vector search engine that offers high-performance, scalable vector similarity search. Built in the Rust programming language, it is designed to efficiently process high-dimensional vectors for large-scale AI use cases. Qdrant is built for cloud-native architecture, allowing for vertical and horizontal scaling and zero-downtime upgrades. This makes it suitable for large-scale AI workloads at the enterprise level.

Some of the key features of Qdrant include:

• Cloud-Native Scalability & High-Availability: Managed cloud infrastructure with central cluster management, multiple cloud providers, and regions.
• Ease of Use & Simple Deployment: Fast deployment with Docker, a lightweight API for easy integration, and local testing support.
• Cost Efficiency with Storage Options: Built-in compression options and data offloading to disk for lower memory usage.
• Rust-Powered Reliability & Performance: Built from the ground up in Rust for top speed and reliability.

Qdrant works with all major embeddings and frameworks, making it adaptable to a wide range of use cases including advanced search, recommendation systems, retrieval augmented generation, and data analysis and anomaly detection. Qdrant can be run locally with Docker or through its cloud options, including a free tier with a 1GB cluster.

Qdrant pricing options include:

• Qdrant Cloud: Starting at $0 with a free 1GB cluster, no credit card required. Includes fully managed services, horizontal and vertical scaling, high availability, and zero-downtime upgrades.
• Hybrid Cloud: $0.014 per hour, bringing your own cluster from any cloud provider, on-premise infrastructure, or edge locations, and connecting it to the managed cloud.
• Private Cloud: Custom pricing for deploying Qdrant fully on-premise for maximum control and data sovereignty.

Qdrant is available on leading marketplaces including AWS Marketplace, Google Cloud Marketplace, and Microsoft Azure. For customers who require more control, Qdrant offers enterprise solutions with flexible deployment options and advanced security features.

With Qdrant, developers can easily convert embeddings or neural network encoders into a full-fledged application for matching, searching, recommending and more. With a focus on performance, scalability and ease of use, Qdrant is a trusted solution for a broad range of AI use cases.

Published on June 15, 2024