Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Hørup Eskildsen of Turbopuffer
Turbopuffer came out of a reading app.
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I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian
Persistent AI memory without embeddings, Pinecone, or a PhD in similarity search. The post I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian appeared first on Towards Data Science .
Securing Asgard: Why I Built a Card Game Suite for Docker Security
This is a submission for the DEV April Fools Challenge What I Built What do you do when you have a series of narrative-driven Docker security workshops featuring 10 elite "Commandos" fighting CVE monsters in Asgard? You could write more documentation. You could add more tests. Or, you could do the most "anti-value" thing possible: Build a full-featured arcade suite where these security characters play Blackjack and Swiss Jass. Presenting the Asgard Arcade : A collection of four utterly useless but technically over-engineered games designed to distract developers from actual security work while simultaneously drilling "Security Metaphors" into their brains. The Lore: Docker Commandos Black Forest Shadow The Docker Commandos are a team of 10 elite specialists, each representing a core Docker
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I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian
Persistent AI memory without embeddings, Pinecone, or a PhD in similarity search. The post I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian appeared first on Towards Data Science .
Designing a Message Bus for AI Agents — Lightweight Communication for 20+ Autonomous Agents
How do 20+ AI agents talk to each other? A lightweight message bus design and lessons from real-world operation. The Problem: How Do Agents Communicate? When you have a single AI assistant, communication isn't a problem. But when you scale to 10+ agents distributed across multiple servers, a fundamental challenge emerges: how do agents communicate with each other? Our environment runs 20+ agents spread across 9 nodes, each responsible for different domains. They frequently need to: Delegate tasks : A manager agent assigns sub-tasks to specialist agents Sync state : An agent notifies others after completing a task Request information : Agent A queries knowledge held by Agent B Broadcast : System-wide announcements Why Not Use an Off-the-Shelf Message Queue? RabbitMQ, Redis Pub/Sub, or NATS
The Full-Stack Factory: How Digital Architectures are Re-Engineering the Textile Supply Chain
In the world of software development, we obsess over latency, vertical scaling, and the elimination of technical debt. We build CI/CD pipelines to ensure that code moves from a developer’s IDE to a production server with zero friction. But what happens when the "production environment" isn't a cloud server, but a physical manufacturing floor? The global textile industry is currently undergoing its most significant "version update" in a century. For decades, the industry operated on a fragmented, "monolithic" architecture—slow, prone to bugs (defects), and incredibly difficult to scale ethically. Today, a new breed of FashionTech is emerging, treating the supply chain as a programmable stack. This article explores the technical transition from fragmented outsourcing to Vertical Integration
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