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Operating a Large, Distributed System in a Reliable Way: Practices I Learned
For the past few years, I've been building and operating a large distributed system: the payments system at Uber. I've learned a lot about distributed architecture concepts during this time and seen first-hand how high-load and high-availability systems are challenging not just to build, but to operate as well. Building the system itself is a fun job. Planning how the system will handle 10x/100x t
Retrieval Augmented Generation at scale — Building a distributed system for synchronizing and…
Disclaimer: We will go into some technical and architectural details of how we do this at Neum AI — A data platform for embeddings management, optimization, and synchronization at large scale, essentially helping with large-scale RAG. As we’ve shared in other blogs in the past, getting a Retrieval Augmented Generation (RAG) application started is pretty straightforward. The problem comes when tryi
No more DSLs: Implement and deploy a distributed system with a single program
No more DSLs: Implement and deploy a distributed system with a single program If you want to write a distributed system, then instead of writing a thousand different programs and configuration files in many different DSLs, you can use an approach I call "single-program systems", and write just one program. In this article, I describe how we do this at $DAYJOB, and I show some example programs. The
GitHub - vearch/vearch: A distributed system for embedding-based vector retrieval
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