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Qdrant

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12 reviews
  • 2 profiles
  • 3 categories
Average star rating
4.5
Serving customers since
2021

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Star Rating

9
3
0
0
0

Qdrant Reviews

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Profile Name
Star Rating
9
3
0
0
0
Andrey L.
AL
Andrey L.
08/09/2024
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Qdrant is vector search engine promising the scale

A tool for creating vector collections and performing vector operations. It excels at vector distance searches, offers convenient auto-completion features, and includes a free tier for evaluation.
JA
Jefferson A.
08/09/2024
Validated Reviewer
Review source: G2 invite
Incentivized Review

Offers tremendous opportunities for customization

In the pursuit of my AI research, Qdrant can expedite the process of searching high-dimensional vector data. The options and setting let me work on terabytes of data and perform similarity search in real time.
Giuseppe N.
GN
Giuseppe N.
Senior Software Engineering Manager
08/01/2024
Validated Reviewer
Review source: G2 invite
Incentivized Review

Excellent vector database with advanced features

What I like best about Qdrant is its efficiency in indexing and searching high-dimensional vectors. The ease of integration with AI-based applications and the ability to perform semantic search queries are major advantages. Additionally, the support for multiple programming languages makes Qdrant versatile and accessible for different development teams

About

Contact

HQ Location:
Berlin, Berlin

Social

@qdrant_engine

What is Qdrant?

Qdrant is the leading, high-performance, scalable, open-source vector database and search engine, essential for building the next generation of AI/ML applications. Qdrant is able to handle billions of vectors, supports the matching of semantically complex objects, and is implemented in Rust for performance, memory safety, and scale.

Details

Year Founded
2021
Website
qdrant.tech