Embedding Space Visualiser
Convert text, images, and code into dense vectors that capture semantic meaning — the foundational primitive of modern AI systems, and the choice that dominates RAG quality.
See: Embedding Space Visualiser
The architecture as diagrams, so you can hold the whole system in your head.
Reading Embeddings is free. Pro unlocks the other four modes on all AI Engineering topics, so you can go from understanding it to building it.
- SeeThe architecture as diagrams, so you can hold the whole system in your head.
- AnimateStep through the flow one stage at a time and watch the data move.
- TestScenario questions with explanations that show exactly where your model of it breaks.
- BuildA guided implementation with code you can run and adapt for production.
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All AI Engineering articles →Guardrails: Input/Output Safety in Production
Input, output, schema, tool, and cost guardrails — the layered defence system that catches LLM failures before they reach a user or downstream system.
How to Build a Production-Ready AI System (Azure OpenAI + AI Search — Real Architecture)
Azure OpenAI + AI Search + embeddings — real-world architecture for production AI systems, including legacy data, orchestration, hybrid retrieval, cost control, and failure modes.
Token Economics: Understanding and Optimizing LLM Costs
A practical guide to understanding token pricing, measuring real costs, and implementing optimization strategies — caching, prompt compression, model routing.
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