GregM

If we let competition dictate the rules, we’ll build systems that reflect power, not trust.
We’ll fund deployment, not governance.
And we’ll widen the gap between those who build technology and those forced to live with its consequences.

Civil society and civilian work inside or alongside government—teams that built open tools, strengthened infrastructure, and centered equity—are disappearing.

They weren’t labs.
They were operational teams.
They delivered real services and real code.
They built bridges between tech and public life.

AI is being framed everywhere as the key to national strength.
Decide faster. Act faster. Win.

Strategic competition will define our future.
AI will shape how wars are fought, borders managed, threats anticipated.

But while that vision accelerates—something else is being torn down.

#Agents are the new frontier in #AI, poised to revolutionize workflows across industries. But like #RAG and chatbots, they require effort: clear instructions, robust security, clean data, and integration. Like #ETL pipelines—massive #automation potential, but each action step is a point for error.

3/ Nice to haves: Built-in text splitters (no custom JS), easier embedding workflows, and input links for the vector store node would be game changers. I’m still new to n8n, so open to tips on methods that I overlooked.

Building the Ultimate RAG setup with Contextual Summaries, Sparse Vectors and Reranking For those with demanding RAG implementation needs or just curious about how to use sparse vector embeddings in their AI workflows, then this one’s for you! Hey there 👋 I’m Jim and if you’ve enjoyed t...

2/ Here’s the best thread on the topic from the forums—kudos to Jim_Le for sharing his project. community.n8n.io/t/building-t...

After 2+ years with LlamaIndex & LangChain, it’s exciting to see @n8n.io pushing AI #workflowautomation forward. Spent 48 hours building workflows to add contextual summaries to text chunks—still feels like too many workarounds. Better vector store integration would elevate #RAG quality.

Happy to be on Bluesky. I’ve been off social media for a while, but I’ll be sharing thoughts on #ML, #AI, #datascience, #ethics, data #workflows, and the intersection of tech, institutions, and policy.