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About
Qdrant is a high-performance, composable vector search engine built in Rust for production-grade semantic, hybrid, and agentic workloads.
Combine dense vectors, sparse vectors, metadata filters, multi-vector representations, and custom scoring as primitives at query time. Written in Rust for memory efficiency, SIMD optimization, and predictable performance without garbage collection pauses. No wrappers, no bolt-ons, no legacy compromises — just a custom HNSW implementation and storage engine built specifically for vector workloads.
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About
Open-source vector similarity search for Postgres.
Supports exact and approximate nearest neighbor search for L2 distance, inner product, and cosine distance.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Anyone interested in a vector search engine
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Audience
Developers interested in an open source vector similarity search for Postgres
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationQdrant
Founded: 2021
Germany
qdrant.tech/
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Company Informationpgvector
github.com/pgvector/pgvector
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Categories |
Categories |
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Integrations
Apify
Langtrace
Activepieces
Airtool
Azure Marketplace
Broxi AI
ChatGPT Pro
Cognee
CogniSync
Dropstone
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Integrations
Apify
Langtrace
Activepieces
Airtool
Azure Marketplace
Broxi AI
ChatGPT Pro
Cognee
CogniSync
Dropstone
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