What 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 Engines category of a tech stack.
Qdrant is an open source tool with 6K GitHub stars and 283 GitHub forks. Here’s a link to Qdrant's open source repository on GitHub
Qdrant Integrations
Golang, Rust, FastAPI, Transformers, and Jina are some of the popular tools that integrate with Qdrant. Here's a list of all 6 tools that integrate with Qdrant.
Qdrant's Features
- Easy to use API
- Fast and accurate
- Advanced filtering
- Rich data types
- Cloud-native and horizontally scaleable
- Efficient & performant
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.
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.
MkDocs
It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.
Google
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.
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