35 articles tagged with Python.
A practical look at why Go usually outruns Python at runtime, where Python holds its own, and how to pick per workload.
Embeddings turn text into numbers a computer can compare. Here's the working mental model, a runnable Python example, and where embeddings fit in real apps.
A working retrieval-augmented generation app you can run today. Markdown ingestion, embeddings, semantic search, and an LLM answer — start to finish in one afternoon.
We invalidate ~6% of LLM outputs before they reach a downstream system. Here's how we structure prompts and validators to catch malformed responses early.
We ran the same RAG workload across three vector stores for a quarter each. Here's what we learned about latency, cost, and operational overhead.
We ran the same workload on both for half a year. The break-even point isn't where most blog posts say it is — and the latency story has more nuance than throughput-per-dollar charts admit.
Six months running RAG in production taught us that the retrieval step matters far more than the model. Concrete techniques that moved the needle, with before/after numbers.
Battle-tested prompt patterns from running LLM features in production: structured output, chain-of-thought, and graceful failure handling.
A practical embedding model upgrade guide for RAG systems, built from a real support-search migration that initially reduced answer quality instead of improving it.
A real-world guide to prompt versioning and regression testing for production AI features, focused on preventing the subtle changes that hurt quality long before anyone notices.
A single quality score multiplies two failure modes together and hands you a number you can't factor back apart. Split it, and a regression tells you which half of the pipeline broke.
A practical production playbook for AI systems: evaluation gates, guardrails, observability, cost control, and reliable release management.
