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Edge page update (#2143)
* edge page update Co-authored-by: Cursor <cursoragent@cursor.com> * refactoring and renaming (#2145) * rename edge-beta to edge in file names and style classes, moved some files to improve files organization * audit fix * fix paths * fixes * add a button to scroll to the form --------- Co-authored-by: Cursor <cursoragent@cursor.com>
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trean
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---
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title: Qdrant Edge | Embedded and Edge AI Systems
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description: Qdrant Edge | Embedded and Edge AI Systems
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url: edge
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aliases: [edge-beta, edge-beta/]
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build:
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render: always
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cascade:
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- build:
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list: local
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publishResources: false
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render: never
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---
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---
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title: Offline Visual Memory for Smart Glasses
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label:
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title: Demo
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icon:
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src: /icons/outline/play.svg
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alt: Demo
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description: This GitHub demo showcases a proof-of-concept for smart glasses that can remember what they see and help you find objects, like your keys, even when fully offline. It runs Qdrant Edge directly on the device, using a vision-language model to convert video frames into vectors for fast, local search while skipping redundant frames to stay efficient.
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description2: See how vector search can bring memory-like capabilities to resource-constrained hardware at the edge.
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cta:
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text: View in GitHub
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url: https://github.com/qdrant/qdrant-edge-demo
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target: "_blank"
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image:
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src: /img/edge/demo-visual.png
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alt: Offline Visual Memory for Smart Glasses
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sitemapExclude: true
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---
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@@ -0,0 +1,15 @@
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---
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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: 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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@@ -0,0 +1,35 @@
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---
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title: Real-time vector retrieval for Edge AI in resource-constrained environments
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features:
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- id: 0
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image:
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src: /img/edge-beta-features/native-vector.svg
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alt: Native Vector Search
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title: Native Vector Search for Embedded & Edge AI
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description: Run in-memory, disk-backed, and hybrid vector search on the edge. Deploy on mobile devices, IoT gateways, industrial PCs, drones, and more.
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- id: 1
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image:
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src: /img/edge-beta-features/optimized-for-low-memory.svg
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alt: Low-Memory
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title: Optimized for Low Memory & Low Compute Devices
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description: Optimized for resource-constrained environments with a small memory footprint and efficient CPU/GPU utilization to ensure smooth performance on edge devices.
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- id: 2
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image:
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src: /img/edge-beta-features/local-by-default.svg
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alt: Local by Default
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title: Local-first, Cloud-Connected When Needed
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description: Perform vector search locally with fallback to cloud for more complex queries or when more compute is needed to train your AI model.
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- id: 3
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image:
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src: /img/edge-beta-features/hybrid-and-multimodal-search.svg
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alt: Hybrid & Multimodal Search
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title: Hybrid & Multi-modal Search On Device
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description: Support for various data types, including text, images, audio, and more. Combine multiple modalities for more accurate and context-aware results.
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- id: 4
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image:
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src: /img/edge-beta-features/multitenancy-built.svg
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alt: Multitenancy Built
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title: Multitenancy Built for Edge Scale
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description: Designed to manage multiple tenants, users, or applications on a single edge device. Isolate data and control access for secure and scalable deployments.
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sitemapExclude: true
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---
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@@ -0,0 +1,20 @@
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---
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title: Submit Your Interest or Project
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description: Fill out the form to stay updated about Qdrant Edge news, or let us know about your project.
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form:
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id: edge-beta-form
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hubspotFormOptions: '{
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"region": "eu1",
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"portalId": "139603372",
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"formId": "3adfb3a8-1c4b-4670-958f-325826039f7e",
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"submitButtonClass": "button button_contained",
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}'
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fallback:
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text: "There is a form here, but unfortunately it is blocked on your side. Please check your browser settings, or try with a different browser."
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# browsers also block external forms, so check if content is available
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# on the fallback page before showing the button
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# buttonText: "Apply Now"
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# link: https://share-eu1.hsforms.com/2Ot-zqBxLRnCVjzJYJgOffg2b46ng
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sitemapExclude: true
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---
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@@ -0,0 +1,12 @@
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---
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title: Apply to Join the Beta
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button:
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url: "#form"
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text: Apply Now
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target: "self"
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image:
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src: /img/rocket.svg
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alt: Rocket
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sitemapExclude: true
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---
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@@ -0,0 +1,21 @@
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---
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title: Qdrant Edge
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label:
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title: Edge AI Infrastructure
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icon:
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src: /icons/fill/edge-blue.svg
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alt: Qdrant edge
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subtitle: Run Vector Search Inside Embedded and Edge AI Systems
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description: Qdrant Edge is a lightweight, in-process vector search engine designed for embedded devices, autonomous systems, and mobile agents. It enables on-device retrieval with minimal memory footprint, no background services, and optional synchronization with Qdrant Cloud.
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startFree:
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text: Read Quick Start Docs
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url: /documentation/edge/edge-quickstart/
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contactUs:
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text: Contact Us
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url: "#form"
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image:
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src: /img/qdrant-edge-scheme.svg
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alt: Qdrant edge scheme
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sitemapExclude: true
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---
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@@ -0,0 +1,29 @@
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---
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title: Purpose-Built for On-Device AI Workloads
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cards:
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- id: 0
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icon:
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src: /img/edge-beta-vectors/icon1.svg
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alt: Robotics & Autonomy
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title: Robotics & Autonomy
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description: Run real-time vector search to enable robots to make faster, more informed decisions for object recognition, navigation, and more.
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- id: 1
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icon:
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src: /img/edge-beta-vectors/icon2.svg
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alt: Offline Voice Assistants
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title: Offline Voice Assistants
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description: Provide fast, accurate, and private voice search for devices without an internet connection, such as smart speakers, wearables, and more.
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- id: 2
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icon:
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src: /img/edge-beta-vectors/icon3.svg
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alt: Smart Retail & Kiosks
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title: Smart Retail & Kiosks
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description: Personalize in-store experiences, provide product recommendations, and power intelligent kiosks for enhanced customer engagement.
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- id: 3
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icon:
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src: /img/edge-beta-vectors/icon4.svg
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alt: Industrial IoT
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title: Industrial IoT
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description: Perform anomaly detection, predictive maintenance, and real-time insights on sensor data directly at the edge for industrial applications.
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sitemapExclude: true
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---
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