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18 lines
836 B
Markdown
18 lines
836 B
Markdown
---
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title: FAQs
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questions:
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- id: 0
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question: Who is Qdrant Edge for?
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answer: Teams building AI systems that need fast, local vector search on embedded or resource-constrained devices, such as robots, mobile apps, or IoT hardware.
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- id: 1
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question: Is this available to all Qdrant users?
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answer: Yes. Read the Quick Start guide, and view the demo in GitHub.
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- id: 2
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question: What are the minimum requirements to join the beta?
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answer: You should have a clear use case for on-device or offline vector search. Preference is given to companies working with embedded hardware or deploying agents at the edge.
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- id: 3
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question: How do I get access?
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answer: Qdrant Edge is currently in private beta. If you're building edge-native or embedded AI systems and want early access, apply to join the beta.
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sitemapExclude: true
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