Qdrant Edge: Vector Search for Embedded AI - Qdrant

What this post added

Introduces Qdrant Edge, a new embedded, in-process library version of Qdrant for on-device vector search. Key features include in-process execution (no background threads), minimal footprint, and multitenancy support. It targets use cases like robotics, mobile devices, POS systems, and IoT agents where low-latency, offline, and privacy-preserving vector search is critical. The post emphasizes Qdrant's architectural strengths (HNSW, hybrid search, multivector) being adapted for edge environments.