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Qdrant Cloud Inference

Qdrant Cloud Inference

Unify embeddings and vector search across modalities

5.0
•20 reviews•

133 followers

Unify embeddings and vector search across modalities

5.0
•20 reviews•

133 followers

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AI Infrastructure Tools
•
AI Databases
Qdrant Cloud Inference lets you generate embeddings for text, image, and sparse data directly inside your managed Qdrant cluster. Better latency, lower egress costs, simpler architecture, and no external APIs required.
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  • Launches1
  • Reviews20
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Company Info
qdrant.tech/cloud-inference
Qdrant Cloud Inference Info
Launched in 2025View 1 launch
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p/qdrant
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Qdrant Cloud Inference reviews

The community submitted 20 reviews to tell us what they like about Qdrant Cloud Inference, what Qdrant Cloud Inference can do better, and more.

5.0
Based on 20 reviews
Review Qdrant Cloud Inference?

Qdrant is highly praised for its seamless integration with existing cloud providers, as noted by the makers of Superflex. It excels in efficient similarity search, making it ideal for recommendation systems and semantic search, according to the makers of Lyzr. The makers of Trag commend it as their preferred vector database, highlighting its excellent engineering experience. Users appreciate its speed, scalability, and comprehensive documentation, making it a top choice for data-intensive workloads.

duy anh nguyenNirman Daveduy anh nguyen
+17
Summarized with AI
Pros
Cons
Reviews
All Reviews
Helpful
Pros
fast performance (6)
semantic search (5)
excellent documentation (3)
efficient similarity search (2)
scalable (2)
self-hosting (2)
Founder Reviews (16)
Other Reviews (4)
Stefan Weber
Stefan Weber
•1 review
The database itself is just great with options to either run it on your own or subscribe to one of Qdrants cloud subscription plans. The documentation is outstanding and always up to date, but even more Qdrants shares tons of examples on various use-cases.
Report
7mo ago
Vilhelm von Ehrenheim
Vilhelm von Ehrenheim
•4 reviews
Qdrant is exactly what I am looking for in a vector database. It is blazing fast, support many different types of queries and many of them in batch format, making them a great choice for demanding, data intensive workloads.
Report
9mo ago
zain ch
zain ch
•13 reviews
The AI offers precise, actionable insights, delivering detailed reports that inform critical business decisions with remarkable accuracy.
Report
11mo ago
Byron Cameron
Byron Cameron
•29 reviews
Despite its advanced capabilities, the tool is intuitive and easy to navigate, which made onboarding quick and seamless
Report
11mo ago
Zams
Nirman Dave
Nirman Dave
used Qdrant Cloud Inference to buildZamsZams
(271 points)
We evaluated a bunch of vector DBs—and Qdrant stood out for its blazing speed, filtering, and hybrid search. It's the unsung hero that lets our AI agents recall and reason across docs, CRMs, and conversations in milliseconds.
Report
22d ago
Byterover
duy anh nguyen
duy anh nguyen
used Qdrant Cloud Inference to buildByteroverByterover
(617 points)
Vector database enabling fast semantic search and retrieval of coding memories.
Report
2mo ago
Truelink
Siddhant Gour
Siddhant Gour
used Qdrant Cloud Inference to buildTruelinkTruelink
(61 points)
We use Qdrant to store and search high-dimensional vector embeddings of malicious patterns, phishing URLs, and threat indicators. This empowers Truelink to compare new threats against known vectors instantly using semantic AI.
Report
3mo ago