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Qdrant

Researched

Qdrant is an open-source vector search engine written in Rust, offering fast, scalable vector similarity search with flexible deployment across Cloud, Hybrid Cloud, Enterprise, and Edge options for AI workloads.

Chausseestraße 86, 10115 Berlin, Germany Checked
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Read-only public captures of Qdrant’s homepage. Screenshots are dated, never live embeds, and open full-screen.

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Homepage · captured Jul 21, 2026
At a glance

In one minute

Start here for the decision-making essentials: what Qdrant does, who it is for, how it is accessed, and the first-party sources behind this profile.

Pricing4 options

Qdrant Cloud offers a Free Tier that is free forever, intended for testing and prototypes.

Qdrant Cloud Standard Tier uses usage-based pricing for production workloads and scaling a

Pricing information is available via a dedicated pricing page

Qdrant Cloud database clusters are priced based on CPU, memory, and disk storage usage (us

Team size100+ experts across 20+ countries
Product typePhysical device
FoundedProject began in 2021 by André Zayarni and Andrey Vasnetsov
Response timeSee official site
DeliveryLocal

Best suited to

Source-backed fit
Teams building RAG and AI agent applications Enterprises needing SOC2 and HIPAA-compliant vector search Organizations with regulated workloads and local data residency needs Developers seeking hybrid vector and keyword retrieval Companies requiring flexible deployment across cloud, hybrid, and edge Serves industries including E-commerce, Legal Tech, Hospitality & Travel,…
Decision support

Common questions and adoption checks

6 sourced answers

Short answers to the questions buyers and builders commonly ask about Qdrant. Each answer cites the shared ledger below, where every source is listed once.

01What does Qdrant say it can do?

Fast and scalable vector similarity search service with convenient API · vector search and retrieval · Hybrid Search combining vector and keyword search · HNSW indexing for vector search performance

It provides fast and scalable vector similarity search service with convenient API.
Ledger citations[1] qdrant.tech[7] qdrant.tech/documentation[3] qdrant.tech/course/essentials/faq[4] qdrant.tech/legal/privacy-policy
02Who is Qdrant intended for?

Serves industries including E-commerce, Legal Tech, Hospitality & Travel, HR Tech, and Hea · Customers include Slack, Adobe, Hubspot, Arize, Google DeepMind, and Qualcomm

Industries E-commerce Legal Tech Hospitality & Travel HR Tech Healthcare Tech
Ledger citations[6] qdrant.tech/customers[5] qdrant.tech/blog
03What use cases does Qdrant describe?

RAG, Recommendation Systems, Advanced Search, Data Analysis & Anomaly Detection, AI Agents · Qdrant supports multiple use cases including RAG, Recommendation Systems, Advanced Search, · RAG (Retrieval-Augmented Generation) · AI Agents

Use Cases RAG Recommendation Systems Advanced Search Data Analysis & Anomaly Detection AI Agents
Ledger citations[1] qdrant.tech[4] qdrant.tech/legal/privacy-policy[12] qdrant.tech/blog/azure-marketplace[2] qdrant.tech/blog/qdrant-skills-release
04What pricing information is available for Qdrant?

Qdrant Cloud offers a Free Tier that is free forever, intended for testing and prototypes. · Qdrant Cloud Standard Tier uses usage-based pricing for production workloads and scaling a · Pricing information is available via a dedicated pricing page · Qdrant Cloud database clusters are priced based on CPU, memory, and disk storage usage (us

Free Tier Free forever For testing, and prototypes
Ledger citations[10] qdrant.tech/pricing[6] qdrant.tech/customers[9] qdrant.tech/documentation/cloud-pricing-payments
05Does Qdrant document API access?

Inference API · Universal Query API for multi-stage retrieval · Qdrant Cloud API and Qdrant Cloud CLI

Inference API
Ledger citations[7] qdrant.tech/documentation[3] qdrant.tech/course/essentials/faq[8] qdrant.tech/documentation/cloud
06What integrations does Qdrant document?

Qdrant MCP Server · Partner ecosystem integrations include Haystack, Unstructured.io, Tensorlake, Superlinked, · Qdrant is available on Azure Marketplace · Hybrid retrieval (dense + sparse) with fusion strategies

Qdrant MCP Server
Ledger citations[7] qdrant.tech/documentation[3] qdrant.tech/course/essentials/faq[12] qdrant.tech/blog/azure-marketplace[2] qdrant.tech/blog/qdrant-skills-release
Decision guide

Capabilities and operating fit

Wearables & devices

This profile connects the jobs Qdrant is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.

Common use cases

  • Retrieval-Augmented Generation (RAG)
  • Recommendation Systems
  • Advanced Search
  • Data Analysis and Anomaly Detection
  • AI Agents
  • RAG, Recommendation Systems, Advanced Search, Data Analysis & Anomaly Detection, AI Agents

Access signals

Pricing model
Qdrant Cloud offers a Free Tier that is free forever, intended for testing and prototypes. · Qdrant Cloud Standard Tier uses usage-based pricing for production workloads and scaling a · Pricing information is available via a dedicated pricing page · Qdrant Cloud database clusters are priced based on CPU, memory, and disk storage usage (us
Engagement
Contact provider
Source links
17 recorded
Source-backed

Verified facts

Updated July 22, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Official website

HTTP 200 verified twice

First-party description

Qdrant - Vector Search Engine

Source-supported facts

Open-Source Vector Search Engine written in Rust · Fast and scalable vector similarity search service with convenient API · Multiple deployment models including Qdrant Cloud, Hybrid Cloud, Enterprise, and Edge (Bet

Open source

Open-Source Vector Search Engine

Capability

Fast and scalable vector similarity search service with convenient API

Platform

Written in Rust

Deployment

Multiple deployment models: Qdrant Cloud, Qdrant Hybrid Cloud, Qdrant Enterprise, and Qdrant Edge (Beta)

Security

SOC2 & HIPAA compliant

View 32 more verified facts
Use case

RAG, Recommendation Systems, Advanced Search, Data Analysis & Anomaly Detection, AI Agents

Pricing

Qdrant Cloud offers a Free Tier that is free forever, intended for testing and prototypes.

[10]qdrant.tech/pricing
Pricing

Qdrant Cloud Standard Tier uses usage-based pricing for production workloads and scaling applications.

[10]qdrant.tech/pricing
Security

The Premium Tier includes SSO and Private VPC Links for enterprises with additional security and compliance needs.

[10]qdrant.tech/pricing
Deployment

Hybrid Cloud runs managed Qdrant clusters on the customer's own infrastructure using their compute, network, and storage, with data staying in the customer's network.

[10]qdrant.tech/pricing
Deployment

Private Cloud is a dedicated, isolated deployment intended for large enterprises, sensitive workloads, and air-gapped setups with custom SLAs and full isolation.

[10]qdrant.tech/pricing
Best for

Hybrid Cloud is positioned as best for local data residency and regulated workloads.

[10]qdrant.tech/pricing
Capability

vector search and retrieval

[7]qdrant.tech/documentation
Deployment

self-hosted and Qdrant Cloud

[7]qdrant.tech/documentation
Api

Inference API

[7]qdrant.tech/documentation
Integration

Qdrant MCP Server

[7]qdrant.tech/documentation
Capability

Hybrid Search combining vector and keyword search

[3]qdrant.tech/course/essentials/faq
Api

Universal Query API for multi-stage retrieval

[3]qdrant.tech/course/essentials/faq
Integration

Partner ecosystem integrations include Haystack, Unstructured.io, Tensorlake, Superlinked, LlamaIndex, Quotient, Camel AI, and Jina AI

[3]qdrant.tech/course/essentials/faq
Capability

HNSW indexing for vector search performance

[3]qdrant.tech/course/essentials/faq
Support

Offers Qdrant Essentials Certification course

[3]qdrant.tech/course/essentials/faq
Company

Qdrant Solutions GmbH

[4]qdrant.tech/legal/privacy-policy
Headquarters

Chausseestraße 86, 10115 Berlin, Germany

[4]qdrant.tech/legal/privacy-policy
Open source

Open-Source Vector Search Engine

[4]qdrant.tech/legal/privacy-policy
Capability

Fast and scalable vector similarity search service with convenient API

[4]qdrant.tech/legal/privacy-policy
Platform

Qdrant Vector Database, Qdrant Cloud, Qdrant Hybrid Cloud, Qdrant Enterprise Solutions, Qdrant Cloud Inference, Qdrant Edge (Beta)

[4]qdrant.tech/legal/privacy-policy
Use case

RAG, Recommendation Systems, Advanced Search, Data Analysis & Anomaly Detection, AI Agents

[4]qdrant.tech/legal/privacy-policy
Integration

Qdrant is available on Azure Marketplace

[12]qdrant.tech/blog/azure-marketplace
Deployment

Qdrant can be hosted on Microsoft Azure

[12]qdrant.tech/blog/azure-marketplace
Platform

Qdrant offers multiple products: Qdrant Vector Database, Qdrant Cloud, Qdrant Hybrid Cloud, Qdrant Enterprise, Qdrant Cloud Inference, and Qdrant Edge (Beta)

[12]qdrant.tech/blog/azure-marketplace
Use case

Qdrant supports multiple use cases including RAG, Recommendation Systems, Advanced Search, Data Analysis & Anomaly Detection, and AI Agents

[12]qdrant.tech/blog/azure-marketplace
Release date

March 31, 2026

[2]qdrant.tech/blog/qdrant-skills-release
Capability

HNSW parameter tuning for recall and latency tradeoffs

[2]qdrant.tech/blog/qdrant-skills-release
Quantization

Binary quantization available, cuts memory 32x

[2]qdrant.tech/blog/qdrant-skills-release
Use case

RAG (Retrieval-Augmented Generation)

[2]qdrant.tech/blog/qdrant-skills-release
Use case

AI Agents

[2]qdrant.tech/blog/qdrant-skills-release
Integration

Hybrid retrieval (dense + sparse) with fusion strategies

[2]qdrant.tech/blog/qdrant-skills-release
Practical capabilities

What it helps with

8 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

Retrieval-Augmented Generation (RAG)

Use case

Recommendation Systems

Use case

Advanced Search

Use case

Data Analysis and Anomaly Detection

Use case

AI Agents

Use case

RAG, Recommendation Systems, Advanced Search, Data Analysis & Anomaly Detection, AI Agents

Use case

Qdrant supports multiple use cases including RAG, Recommendation Systems, Advanced Search,

Use case

RAG (Retrieval-Augmented Generation)

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

Qdrant Cloud offers a Free Tier that is free forever, intended for testing and prototypes. · Qdrant Cloud Standard Tier uses usage-based pricing for production workloads and scaling a · Pricing information is available via a dedicated pricing page · Qdrant Cloud database clusters are priced based on CPU, memory, and disk storage usage (usOpen-Source Vector Search Engine · Open-source project with a public GitHub repository and community · Yes - open-source vector search engine

Platforms

Written in RustQdrant Vector Database, Qdrant Cloud, Qdrant Hybrid Cloud, Qdrant Enterprise Solutions, QdQdrant offers multiple products: Qdrant Vector Database, Qdrant Cloud, Qdrant Hybrid CloudAvailable on AWS, Google Cloud, and AzureQdrant Edge (Beta) supports on-device vector searchAWS, GCP, and Azure
Implementation details

Adoption notes

DeploymentMultiple deployment models: Qdrant Cloud, Qdrant Hybrid Cloud, Qdrant Enterprise, and Qdra · Hybrid Cloud runs managed Qdrant clusters on the customer's own infrastructure using their · Private Cloud is a dedicated, isolated deployment intended for large enterprises, sensitiv · self-hosted and Qdrant Cloud
LicenseOpen-Source Vector Search Engine · Open-source project with a public GitHub repository and community · Yes - open-source vector search engine
Model supportNot disclosed by source
Data controlSOC2 & HIPAA compliant · The Premium Tier includes SSO and Private VPC Links for enterprises with additional securi · SOC2 Type 2 Certification, SSO authentication, and RBAC access control
Learning curveIntermediate
Primary use casesRetrieval-Augmented Generation (RAG), Recommendation Systems, Advanced Search, Data Analysis and Anomaly Detection, AI Agents, RAG, Recommendation Systems, Advanced Search, Data Analysis & Anomaly Detection, AI Agents, Qdrant supports multiple use cases including RAG, Recommendation Systems, Advanced Search,, RAG (Retrieval-Augmented Generation), RAG, Recommendation Systems, Advanced Search, Data Analysis & Anomaly Detection, and AI Ag, Deployment on robots, kiosks, and mobile devices, Targeted guidance on scaling, search quality, performance, and monitoring

What to verify before adopting

    Evolution and major updates

    Qdrant timeline

    A concise history of launches, product changes and company milestones. Events appear only when a dated source supports what changed.

    Research in progress
    Scheduled for research

    Building a trustworthy history.

    This profile is being checked for dated launches, releases and major company changes. Nothing appears here until the exact date and event can be verified from a recorded source.

    Dated event Short explanation Original source
    Citation ledger

    Recorded sources

    17 unique pages

    Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.

    1. 1qdrant.tech 10 facts · 2 answers · Official site
    2. 2qdrant.tech/blog/qdrant-skills-release 6 facts · 2 answers · Official site
    3. 3qdrant.tech/course/essentials/faq 5 facts · 3 answers · Official site
    4. 4qdrant.tech/legal/privacy-policy 6 facts · 2 answers · Security
    5. 5qdrant.tech/blog 6 facts · 1 answer · Official site
    6. 6qdrant.tech/customers 5 facts · 2 answers · Official site
    7. 7qdrant.tech/documentation 4 facts · 3 answers · Documentation
    8. 8qdrant.tech/documentation/cloud 6 facts · 1 answer · Documentation
    9. 9qdrant.tech/documentation/cloud-pricing-payments 6 facts · 1 answer · Pricing
    10. 10qdrant.tech/pricing 6 facts · 1 answer · Pricing
    11. 11qdrant.tech/about-us 6 facts · Official site
    12. 12qdrant.tech/blog/azure-marketplace 4 facts · 2 answers · Official site
    13. 13qdrant.tech/documentation/web-ui 6 facts · Documentation
    14. 14qdrant.tech/enterprise-solutions 6 facts · Official site
    15. 15qdrant.tech/documentation/edge 5 facts · Documentation
    16. 16qdrant.tech/documentation/skills 5 facts · Documentation
    17. 17qdrant.tech/documentation/search Documentation
    Research status91 substantive facts · 17 source pages · quality score 95/100