Vendors / Qdrant
Qdrant
Named in 49 of 50 AI answers across 1 category in September 2026. Best position: Vector databases, 98% answer share, ranked #2, named first in 24%.
98%
Best share Vector databases
What Qdrant is
Qdrant is a vector search engine for AI retrieval, built for developers. It is used to store and search data for applications that need to retrieve relevant information using vectors.
Qdrant stores metadata in JSON and supports advanced filters. It can combine keyword and vector search in a single query using dense or sparse vectors. New data can be indexed without rebuilding the whole index. Developers can use Qdrant through REST and gRPC APIs, as well as official clients.
By category
First edition
| Category | Rank | Answer share | Named first | Models | Δ |
|---|---|---|---|---|---|
| Vector databasesAI infra | #2 of 16 | 24% | GPT-5.6 Sol, ChatGPT, GPT-5.6 Luna, Claude Opus 5, Claude, Claude Fable 5, Gemini, Gemini 3.5 Flash, Perplexity, Sonar Reasoning Pro | new |
What the models said
“Several comparative reviews explicitly state that for most RAG pipelines, Pinecone or Qdrant are the strongest defaults.”
“Choose Qdrant if your app depends on metadata filtering and you want a strong open-source production option.”
“Choose a database like Qdrant, Weaviate, or Pinecone that supports dense + sparse hybrid search natively.”
“Choose Qdrant for a strong balance of performance, filtering, cost control, and deployment flexibility.”
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