Qdrant on Ubuntu 24.04 with maintenance support by PCloudhosting

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Qdrant is a high performance, open-source vector database and search engine designed for fast, accurate similarity search at scale. It is designed to handle vector embeddings generated by machine learning models, making it a strong fit for real-world use cases such as semantic search, recommendation engines, natural language processing, and computer vision.

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Qdrant provides a production-ready service with a clean, convenient API for storing, searching, and managing vector data, along with additional metadata (payloads). This allows you to apply advanced filters on structured fields while performing vector similarity search, helping you get more relevant and meaningful results from unstructured data.

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Optimised for deployment on the <b>AWS Cloud Marketplace</b>, this offering enables fast launches using AWS infrastructure, seamless scaling, and reliable performance for enterprise grade workloads.

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With Qdrant, embeddings and neural network encoders can be turned into complete, end-to-end applications for matching, searching, ranking, and recommendation. The platform is easy to deploy, simple to operate, and built to stay fast and accurate even under heavy load.

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<p><b>Key Highlights</b></p>

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<li>Delivers high requests per second (RPS) with low latency, ideal for real-time applications</li>

<li>Stores vector points with optional metadata payloads for richer search and filtering</li>

<li>Advanced filtering support on structured fields alongside vector similarity search</li>

<li>Blazing-fast performance with production-grade accuracy</li>

<li>Flexible storage and deployment options, including hybrid cloud environments</li>

<li> Optimised for AWS infrastructure for easy scaling and reliable operations</li>

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