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Qdrant AI visibility

Does ChatGPT recommend Qdrant? Named in 83.3% of 6 AI answers to Vector Databases buyer questions (most recent checks).

Vector Databasesai-devtoolsUnclaimed
qdrant.tech

AI citation rate · last 90 days

83.3%
Answers citing Qdrant
5/6
Cited / total probes
#5
Rank in Vector Databases
EngineCitedProbesRate
ChatGPT11100%
Claude11100%
Gemini11100%
Perplexity22100%
Copilot010%
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What reviewers say about Qdrant

Review data is part of the Company plan. Once Qdrant is claimed, we add its ratings and review counts from Google, G2, Capterra and Trustpilot to this page, with the strengths and complaints reviewers repeat most, and keep them updated. AI engines lean on this kind of data when they recommend brands.

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What Qdrant offers

Qdrant is a vector databases product, with a free tier. The details below are read from qdrant.tech and are the same facts the AI engines see when they answer buyer questions about vector databases.

Key features
  • Single Node Cluster
  • 0.5 vCPU / 1GB RAM / 4 GB Disk
  • Dedicated Resources
  • 99.5% Uptime SLA
  • Private VPC Links
  • Backup & Disaster Recovery
  • SSO
  • Flexible Vertical and Horizontal Scaling
Strengths buyers cite
  • Free tier for testing and prototypes
  • Flexible pricing based on usage
  • Enterprise security features
  • Managed and on-premise options
Common criticisms
  • Limited to 1GB RAM and 4GB disk in free tier
  • Pricing can vary greatly based on usage
  • Minimum spend required for premium tier
  • Community support may be insufficient for enterprises

Buyer questions we asked the AI engines

These are the real vector databases questions we put to ChatGPT, Claude, Gemini, Perplexity and Copilot over the last 90 days, and what came back about Qdrant. Where an answer named a different company, that company is listed.

“best vector database 2026”

Qdrant named in 4 of 5 answers across ChatGPT, Claude, Copilot, Gemini, Perplexity · cited instead: pinecone.io

1. Pinecone (https://www.pinecone.io) — managed, fully hosted vector database with simple APIs, production-ready scaling, and broad ML integrations (fastest path to deploy). 2. Milvus (https://milvus.io) — open‑source, high‑performance vector DB designed for large-scale deployments with GPU/CPU indexing options and cloud provider integrations. 3. Weaviate (https://weaviate.io) — schema-driven vect

“Pinecone vs Weaviate”

Qdrant named in 1 of 1 answers across Perplexity

Both Pinecone and Weaviate are leaders in the vector database space, but they serve different architectural needs. **Pinecone** is a fully managed, cloud-native SaaS designed for developers who want "serverless" simplicity and high scale without managing infrastructure. **Weaviate** is an open-source, schema-driven database that offers more flexibility for hybrid search and self-hosting, making it

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Qdrant AI visibility score — 83.3% of AI answers

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