| id |
question |
answer |
| 0 |
Who is Qdrant Edge for? |
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 |
question |
answer |
| 1 |
Is this available to all Qdrant users? |
Not yet. Qdrant Edge is in private beta. We're selecting a limited number of partners based on technical fit and active edge deployment scenarios. |
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| id |
question |
answer |
| 2 |
What are the minimum requirements to join the beta? |
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 |
question |
answer |
| 3 |
How do I get access? |
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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