Production-Ready RAG: Vector DB or Embedding Cache—Where Does Your Bottleneck Live?
09 Dec 2025 / admin

Production-Ready RAG: Vector DB or Embedding Cache—Where Does Your Bottleneck Live?

Retrieval-Augmented Generation (RAG) fails in production when latency or cost blows up beyond the prototype. We A/B-benchmarked three vector-store patterns—managed Pinecone, self-hosted pgvector, and an...

/ AI & ML Best Practices /
Serverless GPU vs CPU: The Cost-to-Latency Numbers Nobody Shows You
09 Dec 2025 / admin

Serverless GPU vs CPU: The Cost-to-Latency Numbers Nobody Shows You

AWS, Azure, and GCP now rent GPUs by the millisecond—but should you switch your LLM or embedding workloads? We benchmarked serverless GPU (AWS Lambda +...

/ AI & ML Best Practices /
GenAI Test Scaffolds: 80 % Coverage in One Day—Fact or Fiction?
09 Dec 2025 / admin

GenAI Test Scaffolds: 80 % Coverage in One Day—Fact or Fiction?

Just ask ChatGPT to write the tests.” Easy headline—messy reality. We benchmarked three GenAI engines (GPT-4o, Claude 3, Gemini 1.5) on an eight-service Node +...

/ Shift-Left Engineering /
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