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Qdrant

Qdrant is an open-source vector database and similarity search engine, written in Rust, for AI applications that need fast semantic search.

Qdrant

Qdrant

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Qdrant is an open-source vector database and similarity search engine, written in Rust, for AI applications that need fast semantic search.

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Product Overview

Qdrant is an open-source vector database and similarity search engine, written in Rust, for AI applications that need fast semantic search.

About This Tool

Overview

AI Agent

As vector databases go, Qdrant is the open-source one written in Rust, a language chosen for reliability and performance.

Qdrant is a vector database and similarity search engine that gives AI applications fast semantic search through a convenient API.

Qdrant works with a range of embeddings and frameworks, so you can add it to the stack you already run instead of rebuilding around it.

For production, Qdrant offers cloud-native scalability and high availability, plus storage options with built-in compression to keep costs down.

Its makers say thousands of AI solutions use it.

Running a vector database takes technical skill, so Qdrant suits developers and engineering teams far more than general office users.

Pricing follows an enterprise model, which means you will likely need to talk to the team before you know what larger deployments cost.

Added Oct 27, 2026
Website
Category

AI Agent

Pricing Model

enterprise

Website

https://qdrant.io/

Status

published

Performance

4 views • 0/5 rating

Tags

Office & Productivity, Other, AI API...

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Features & Capabilities

Key Features

Open-source and written in Rust for reliability and performance
Scalable vector similarity search with a convenient API
Integrates with various embeddings and frameworks
Offers cloud-native scalability and high availability
Provides cost-efficient storage options with built-in compression
Used by thousands of top AI solutions

Pros & Cons

Pros

  • Open-source and written in Rust for reliability and performance
  • Scalable vector similarity search with a convenient API
  • Integrates with various embeddings and frameworks
  • Offers cloud-native scalability and high availability
  • Provides cost-efficient storage options with built-in compression
  • Used by thousands of top AI solutions

Cons

No notable drawbacks reported yet.

Pricing & Access

Pricing Information

Enterprise

Reviews & Ratings

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Key Features

Open-source and written in Rust for reliability and performance
Scalable vector similarity search with a convenient API
Integrates with various embeddings and frameworks
Offers cloud-native scalability and high availability
Provides cost-efficient storage options with built-in compression
Used by thousands of top AI solutions

Pricing

Enterprise

Enterprise pricing is available. Contact the vendor for custom quotes.

View full pricing on website

User Reviews

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