Post by Qdrant

Vector search - now running on the edge What happens when you bring vector search closer to where data is generated? This walkthrough by Pruthil Prajapati shows how Qdrant Edge enables on-device vector retrieval for sensor data - no cloud, no APIs, no latency bottlenecks. Instead of sending everything to the cloud, the system: • Processes sensor data locally • Converts it into embeddings • Uses vector search to retrieve similar patterns in real time 👉 The key shift: vector search becomes a local decision engine, not just a backend service This is especially powerful for: • IoT and sensor systems • Robotics and real-time monitoring • Environments with limited connectivity Qdrant Edge runs fully local with a small footprint, handling both vector search and filtering in a single query, making it ideal for edge deployments. Read more: https://lnkd.in/g2t6dM95 #Qdrant #VectorSearch #EdgeAI #IoT #AIEngineering