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19 lines
1.1 KiB
Markdown
19 lines
1.1 KiB
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 <a href="https://qdrant.tech/documentation/edge/edge-quickstart/">Quick Start guide</a>,
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and view the <a href="https://github.com/qdrant/qdrant-edge-demo">demo</a> on 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: If you're building edge-native or embedded AI systems, apply to join the beta. Or, read the <a href="https://qdrant.tech/documentation/edge/edge-quickstart/">Quick Start guide</a>, and view the <a href="https://github.com/qdrant/qdrant-edge-demo">demo</a> on GitHub
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sitemapExclude: true
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---
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