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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/

View on GitHub Official site
Vector Databases Apache-2.0 Easy setup 33,486 stars

Overview

Description

Qdrant lets you build AI applications that find meaning, not just keywords — with vector search that handles billions of vectors in milliseconds. It powers semantic matching, recommendations, and faceted search out of the box. The bottom line: faster time-to-market for AI-powered features with less infrastructure complexity.

Technical scorecard

License

Apache-2.0

Commercial use

Yes

OpenAI-compatible API

No

REST API

Yes

Fine-tuning support

No

Quantization support

Yes

Docker available

Yes

GUI / no-code available

Yes

Telemetry

Unknown

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

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Setup & Installation

Easy

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/qdrant/qdrant

Hardware Requirements

Hardware tagsCPU, GPU (NVIDIA), GPU (AMD), Edge Device
LanguagesRust

Works Well With