Audience

Anyone interested in a vector search engine

About Qdrant

Qdrant is a vector similarity engine & vector database. 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!

Provides the OpenAPI v3 specification to generate a client library in almost any programming language. Alternatively utilise ready-made client for Python or other programming languages with additional functionality.

Implement a unique custom modification of the HNSW algorithm for Approximate Nearest Neighbor Search. Search with a State-of-the-Art speed and apply search filters without compromising on results.

Support additional payload associated with vectors. Not only stores payload but also allows filter results based on payload values.

Integrations

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Company Information

Qdrant
Founded: 2021
Germany
qdrant.tech/

Videos and Screen Captures

Qdrant Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Qdrant Frequently Asked Questions

Q: What kinds of users and organization types does Qdrant work with?
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