AI Engineering
Building AI systems that survive contact with real traffic.
What does ai engineering cover?
The implementation layer: retrieval, evaluation, orchestration, observability and production reliability.
Definitions in this cluster
Retrieval-augmented generation
Retrieval-augmented generation is a pattern where relevant documents are fetched from a knowledge base at query time…
Vector database
A vector database stores text (or images) as numeric embeddings and retrieves items by semantic similarity rather than…
Embedding
An embedding is a list of numbers representing the meaning of a piece of text, produced by a model so that semantically…
Prompt engineering
Prompt engineering is the practice of structuring the instructions, context and examples given to a language model so…
Orchestration
Orchestration is the coordination layer that decides which model, tool or sub-process handles each step of a task…
Evaluation
Evaluation is the systematic scoring of AI output against a fixed set of test cases with known good answers. It is what…
Guides & analysis
Retrieval-Augmented Generation in Production: What Actually Breaks
The failure modes of production RAG — chunking, retrieval quality, freshness, evaluation — and how to design around them.