qdrant/qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

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This helps AI developers and data scientists build and manage powerful search, recommendation, and classification applications. It takes high-dimensional numerical data (vectors/embeddings) and associated information (payloads) as input. It then allows users to quickly search for similar items, apply complex filters, and power various AI applications, making it ideal for those working with neural networks and semantic data.

29,544 stars. Used by 96 other packages. Actively maintained with 214 commits in the last 30 days. Available on PyPI.

Use this if you are building AI applications like semantic search, image recognition, recommendation engines, or chatbots that need to quickly find similar data points among millions or billions.

Not ideal if you primarily need a traditional relational database for structured data or a simple key-value store without the need for high-dimensional similarity searches.

AI-application-development semantic-search recommendation-engines machine-learning-operations data-science
Maintenance 22 / 25
Adoption 15 / 25
Maturity 25 / 25
Community 19 / 25

How are scores calculated?

Stars

29,544

Forks

2,095

Language

Rust

License

Apache-2.0

Last pushed

Mar 13, 2026

Commits (30d)

214

Dependencies

7

Reverse dependents

96

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