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Market/Categories/Developer & AI Platform/Qdrant

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Qdrantqdrant.tech

No product description has been published for this domain yet. Everything below is measured directly.

Developer & AI Platformqdrant.techTracked since 2026-08-192 discovery sources
40.5KBacklinks
4.7KReferring domains
36Domain authority
+23.1%Referring domains · 90 days

Authority & distribution

How strong is Qdrant’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

40.5KCurrent snapshot

Referring domains

4.7KCurrent snapshot

Authority

36Domain authority · category median 22

90-day move

+23.1%Referring domains, last 90 days
At 36, Qdrant sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where Qdrant ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending Qdrant traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What Qdrant is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Qdrant”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://qdrant.tech/

Observed across 2 discovery sources.

Research questions

What the evidence answers about Qdrant.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What is the primary function of Qdrant?

Qdrant is an open-source vector search engine written in Rust that provides fast and scalable vector similarity search service with a convenient API. It is engineered for real-time retrieval with the speed, accuracy, and scale required for modern AI applications.

What core problem does Qdrant solve for developers?

Qdrant simplifies the selection and implementation of AI retrieval infrastructure. It allows developers to ship high-performance, full-feature vector search at any scale and with any deployment model, solving the challenge of building production-grade AI search systems.

In what specific situations is Qdrant used?

Qdrant is used for building AI retrieval layers in applications such as recommendation systems and Retrieval-Augmented Generation (RAG). It powers use cases like AI trip planners on billions of reviews and images, real-time personalized responses, and multi-agent platforms with millions of conversations.

Who is the target audience for Qdrant?

Qdrant is targeted at developers and engineering teams building AI-powered applications that require vector search capabilities. This includes teams working on search, recommendations, and complex AI agent systems that need scalable retrieval infrastructure.

What key features does the Qdrant platform offer?

Qdrant offers features including native hybrid search (dense and sparse), efficient one-stage filtering, built-in multivector support for multimodal retrieval, and full-spectrum reranking capabilities. It also provides expansive metadata filters and can be deployed anywhere, including on-premise, hybrid, edge, or via the managed Qdrant Cloud.

What is Qdrant?

Qdrant is an open-source vector search engine written in Rust, designed to provide a fast and scalable vector similarity search service with a convenient API for AI applications.

Behind the lock

Unlock full Qdrant intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 6 of them do it, and the 24 pages they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured