Emma K McGrattan

CTO @ActianDev. Data, AI, and the systems that make them trustworthy. Writing, speaking, and building the foundations for enterprise AI.

[Emma K McGrattan @emmakmcgrattan]

We're excited to announce VectorAI DB, the first vector database purpose-built for high-performance, reliable AI at the edge.

RAG isn't dead. It just can't run in the environments that need it most.

In manufacturing, 46% of AI pilots never leave the OT network. Healthcare, defense, and financial services are no different.

VectorAI DB runs RAG pipelines, semantic search, and real-time AI agents on-premises, at the edge, or air-gapped.

Before today, 1,000+ devs across three hackathons had already built on it. A maritime AI system. An on-device AI therapist. Cardiac imaging on a closed hospital cluster.

And these are just a handful of what VectorAI DB makes possible.

VectorAI DB is NOW OPEN to the public. Come throw your hardest problem at it.

Download link in the comments.

[Emma K McGrattan @emmakmcgrattan]

@claudeai The most interesting competition is starting to happen around workflows, not raw model scores.

[Emma K McGrattan @emmakmcgrattan]

Check out my latest article: Engineering the Context Layer https://t.co/sAcrymDqFz via @LinkedIn

[Emma K McGrattan @emmakmcgrattan]

Huge thanks to everyone who came and to everyone who I met!

[Actian Corporation @ActianCorp]

AI Dev 26 x SF = packed rooms + great conversations ⚡

We introduced Actian VectorAI DB and saw strong interest in local-first, production-ready AI systems.

@emmakmcgrattan also took the stage to explore how AI is transforming data architecture in her latest report.

Such a fun, energizing event—thanks for being part of it!

#VectorDatabase #AIArchitecture #EdgeAI

[Emma K McGrattan @emmakmcgrattan]

@brandon_ai Thanks Brandon!

[Emma K McGrattan @emmakmcgrattan]

We're excited to announce VectorAI DB, the first vector database purpose-built for high-performance, reliable AI at the edge.

RAG isn't dead. It just can't run in the environments that need it most.

In manufacturing, 46% of AI pilots never leave the OT network. Healthcare, defense, and financial services are no different.

VectorAI DB runs RAG pipelines, semantic search, and real-time AI agents on-premises, at the edge, or air-gapped.

Before today, 1,000+ devs across three hackathons had already built on it. A maritime AI system. An on-device AI therapist. Cardiac imaging on a closed hospital cluster.

And these are just a handful of what VectorAI DB makes possible.

VectorAI DB is NOW OPEN to the public. Come throw your hardest problem at it.

Download link in the comments.

[Emma K McGrattan @emmakmcgrattan]

@GonnabeNikhil This is incredible, Nikhil!

[Emma K McGrattan @emmakmcgrattan]

@javarevisited VectorAI DB supports HNSW indexing at the edge

[Emma K McGrattan @emmakmcgrattan]

@stevenjhammond We’re model-agnostic! The database doesn't generate the embeddings, so you have total flexibility. You can generate them offline using local models to keep the data loop air-gapped.

[Emma K McGrattan @emmakmcgrattan]

@zulkarnaimx Exactly. If a drop in bars means a drop in intelligence, it's not field-ready.

[Emma K McGrattan @emmakmcgrattan]

@heyfionaai Agreed

[Emma K McGrattan @emmakmcgrattan]

@pannaa_ai Bingo. You can't optimize your way out of the speed of light.

[Emma K McGrattan @emmakmcgrattan]

We're excited to announce VectorAI DB, the first vector database purpose-built for high-performance, reliable AI at the edge.

RAG isn't dead. It just can't run in the environments that need it most.

In manufacturing, 46% of AI pilots never leave the OT network. Healthcare, defense, and financial services are no different.

VectorAI DB runs RAG pipelines, semantic search, and real-time AI agents on-premises, at the edge, or air-gapped.

Before today, 1,000+ devs across three hackathons had already built on it. A maritime AI system. An on-device AI therapist. Cardiac imaging on a closed hospital cluster.

And these are just a handful of what VectorAI DB makes possible.

VectorAI DB is NOW OPEN to the public. Come throw your hardest problem at it.

Download link in the comments.

[Emma K McGrattan @emmakmcgrattan]

@linaa_ai Exactly. By keeping the data local, you eliminate the legal headache before it starts.

[Emma K McGrattan @emmakmcgrattan]

@kubilayarkan1 Spot on! We launched VectorAI DB specifically to end that tension. You shouldn't have to choose between advanced AI and strict data sovereignty.

[Emma K McGrattan @emmakmcgrattan]

@MakadiaHarsh Glad you found it cool. Hardware is the ultimate reality check

[Emma K McGrattan @emmakmcgrattan]

@AIwithArsalan Agreed

[Emma K McGrattan @emmakmcgrattan]

@BharukaShraddha Precisely. We shifted the focus from "what can RAG do" to "where can RAG live." Once you remove the connectivity and compliance constraints, the architecture becomes much more interesting.

[Emma K McGrattan @emmakmcgrattan]

@steve_social_ Thanks

[Emma K McGrattan @emmakmcgrattan]

@Aria_Nawi Spot on. On a factory floor, a WAN drop shouldn't mean a line stoppage.

[Emma K McGrattan @emmakmcgrattan]

@HeyNayeem That's exactly the shift we're pushing for.

[Emma K McGrattan @emmakmcgrattan]

@maarcoofdezz Env: Intel Xeon Gold 6138 (8 core / 64GB)
Data: 1M vectors @ 768-dim
Load: Concurrent, pure vector search