WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2026 Europe • Jul 9, 2026 • Session details

The Retrieval Layer for Edge AI

Sasha Denisov , Chadha Sridi

Are your local AI agents acting like amnesic observers? Give edge devices persistent, offline memory with Qdrant Edge. Build personalized, latency-free vector search directly on physical endpoints.

Pause
Mute Enter Fullscreen
#1 about 3 min

The necessity of Edge AI and its driving constraints

Running artificial intelligence systems strictly on edge devices eliminates reliance on network connections while guaranteeing strict latency limits and data privacy.

#2 about 5 min

Enabling edge intelligence with small language models

Deploying lightweight open weights models onto consumer hardware provides reasoning skills without exposing personal context across cloud boundaries.

#3 about 3 min

Bringing semantic memory to devices with Qdrant Edge

Embedding a Rust-based vector search engine locally allows low-resource environments to index unstructured data and maintain persistent personalized contexts.

#4 about 5 min

Demonstrating on-device semantic memory with mobile apps

Implementing local vector indexing within mobile applications creates a private semantic search experience for personal messages and image collections.

#5 about 3 min

Architecting the memorize and recall flows on mobile

Integrating a local Gemma model handles both embedding generation from visual data and query parsing with smart filters to fetch accurate historical records.

#6 about 4 min

Deploying local vector search for home robotics

Combining object detection captures with hybrid search functionality gives standalone robots the spatial awareness needed to quickly locate missing items.

#7 about 3 min

Building real-time object tracking with smart glasses

Processing continuous camera feeds into a localized vector database enables wearable devices to log asset locations for future retrieval via natural voice commands.

#8 about 3 min

Evaluating performance metrics of on-device object memory

Routing detection tasks to hardware neural processing units minimizes inference bottlenecks while continuous upsert safeguards data during sporadic power cycles.

#9 about 2 min

Synchronizing edge device memory with cloud clusters

Bridging standalone local indexes via a centralized cloud repository allows collaborative search strategies across distributed personal hardware nodes.

#10 about 4 min

Addressing network challenges and offline edge synchronization

Identifying peak energy demands for network hopping isolates failure patterns and underscores the value of hybrid offline-first index operations.

Matching moments

2:26 min

Key drivers and definitions for physical edge artificial intelligence

Moe Sani Moe Sani · World Congress 2026 Europe

3:21 min

Reducing cloud dependency with on-device edge AI models

Precious Osaro Precious Osaro · World Congress 2026 Europe

3:19 min

Technological shifts enabling practical edge AI deployment

Sasha Denisov Sasha Denisov · World Congress 2026 Europe

6:37 min

Defining edge AI and its widespread industry applications

Ekaterina Sirazitdinova · World Congress 2023

1:50 min

Overview of the Edge AI ecosystem and tech stack

Maxim Salnikov Maxim Salnikov · World Congress 2025

4:29 min

Distributing multimodal intelligence via edge computing architectures

Clemens Wasner Clemens Wasner +3 · World Congress 2026 Europe

More from World Congress 2026 Europe

Building the Nervous System of AI - Michael Kagan (NVIDIA) thumbnail
29:17
3 months ago

Building the Nervous System of AI - Michael Kagan (NVIDIA)

Michael Kagan, Sead Ahmetović

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote thumbnail
19:41
3 months ago

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote

Christian Heilmann

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend thumbnail
32:06
3 months ago

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend

David vonThenen

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes thumbnail
35:13
3 months ago

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes

Irina Branovic

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬 thumbnail
24:23
3 months ago

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬

Jeremy Murray

Angstfreude - AI and Corporate Culture - The Thrill and the Threat thumbnail
30:26
3 months ago

Angstfreude - AI and Corporate Culture - The Thrill and the Threat

Axel Ebert, Karin Krobath

Related videos

Future of Mobile AI. What On-Device Intelligence Means for App Developers thumbnail
29:28
World Congress 2026 Europe • 3 months ago

Future of Mobile AI. What On-Device Intelligence Means for App Developers

Sasha Denisov

Edge AI on iOS: Beyond the Cloud, Designing the Next Generation of Intelligent On-Device Apps thumbnail
26:30
World Congress 2026 Europe • 3 months ago

Edge AI on iOS: Beyond the Cloud, Designing the Next Generation of Intelligent On-Device Apps

Precious Osaro

From Perception to Autonomy: Building Agentic Edge AI Robots with ROS 2 thumbnail
25:50
World Congress 2026 Europe • 3 months ago

From Perception to Autonomy: Building Agentic Edge AI Robots with ROS 2

Moe Sani

Trends, Challenges and Best Practices for AI at the Edge thumbnail
29:50
World Congress 2023 • about 3 years ago

Trends, Challenges and Best Practices for AI at the Edge

Ekaterina Sirazitdinova

RTX AI PC: Developing local and edge AI applications thumbnail
26:06
World Congress 2026 Europe • 3 months ago

RTX AI PC: Developing local and edge AI applications

Joerg Krall

How to Decipher User Uncertainty with GenAI and Vector Search thumbnail
24:47
World Congress 2025 • about 1 year ago

How to Decipher User Uncertainty with GenAI and Vector Search

Ben Greenberg

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.