AndreWhat is Qdrant?
It is an open-source Vector Search Engine and Vector Database written in Rust. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more.
Qdrant is a tool in the Search category of a tech stack.
Key Features
Easy to use APIFast and accurateAdvanced filteringRich data typesCloud-native and horizontally scaleableEfficient & performant
Qdrant Pros & Cons
Pros of Qdrant
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Cons of Qdrant
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Qdrant Alternatives & Comparisons
What are some alternatives to Qdrant?
Sphinx
It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.
Apache Solr
It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.
Lucene
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
