Actian VectorAI DB - The portable vector database for AI agents beyond the cloud
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Actian VectorAI DB is a portable vector database built for AI beyond the cloud. Developers can store, retrieve, and reason over data locally, delivering low-latency vector search on embedded, edge, on-prem, and hybrid systems - with a 22x QPS advantage over Milvus and Qdrant at 10M vectors. Build once, deploy consistently, without relying on cloud-native infrastructure. Teams maintain full data ownership and predictable behavior across edge, on-prem, hybrid, and cloud environments.
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curious how it handles intermittent connectivity — like if an edge device goes offline mid-query, does it fail gracefully or does it need a persistent connection to work?
Actian VectorAI DB
@ahmadhajj Great question! VectorAI DB doesn’t need a persistent connection to function, which is one of its core architectural advantages. The database is purpose-built to run in zero-to-low bandwidth environments.
Edge vector DBs are a real underserved space - most "portable" claims fall apart the second you actually deploy on a Jetson or factory PC. Curious about two things on the 22x QPS claim. What is the storage footprint at 10M vectors vs Milvus on the same hardware - is the speedup paid for in disk? And on hybrid deployments, when an edge index syncs back to a cloud cluster, is it a full rebuild or do indexes merge incrementally?