krzysztof/landing_page
1
0
Fork 0
mirror of https://github.com/qdrant/landing_page.git synced 2026-10-08 20:38:31 +02:00
Code Issues Packages Projects Releases Wiki Activity

links

Browse Source
This commit is contained in:
Maddie Duhon
2026-01-21 10:49:22 -05:00
parent 022a9cf4af
commit cfbb37fd54
1 changed files with 3 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
qdrant-landing/content/edge-beta/edge-beta-faq.md
+3 -2
View File
@@ -6,12 +6,13 @@ questions:
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. 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.
- id: 1 - id: 1
question: Is this available to all Qdrant users? question: Is this available to all Qdrant users?
answer: Yes. Read the [Quick Start guide](https://qdrant.tech/documentation/edge/edge-quickstart/), and [view the demo](https://github.com/qdrant/qdrant-edge-demo) in GitHub. answer: Yes. 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.
- id: 2 - id: 2
question: What are the minimum requirements to join the beta? question: What are the minimum requirements to join the beta?
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. 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.
- id: 3 - id: 3
question: How do I get access? question: How do I get access?
answer: If you're building edge-native or embedded AI systems, apply to join the beta. Or, read the [Quick Start guide](https://qdrant.tech/documentation/edge/edge-quickstart/), and [view the demo](https://github.com/qdrant/qdrant-edge-demo) in GitHub. 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
sitemapExclude: true sitemapExclude: true
--- ---