Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Learn how to build production-ready RAG applications using vector databases, embedding models, and LLMs. Complete guide with code examples and best practices.
Run retrieval-augmented generation at scale. Chunking, caching, and observability.
AI Inference Cost Optimization. Practical guidance for reliable, scalable platform operations.
A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.
RAG Retrieval Quality Evaluation. Practical guidance for reliable, scalable platform operations.