landing_page/qdrant-landing/content/edge-beta/edge-beta-faq.md

title, questions, sitemapExclude

title	questions	sitemapExclude
FAQs	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. id question answer 1 Is this available to all Qdrant users? 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 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. id question answer 3 How do I get access? 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	true