AI ReferenceLibrary
Visual, animated reference guides for production AI. Understand complex concepts at a glance.
Comparisons & Decisions
Side-by-side analysis to guide your architecture decisions
Agents vs Workflows
Agents are autonomous systems where a large language model iteratively decides which actions to take, which tools to inv...
Context Windows vs External Memory
Context windows represent the fixed-size input buffer of transformer-based language models where all tokens receive mutu...
RAG vs Fine-Tuning vs Agents
RAG (Retrieval-Augmented Generation), fine-tuning, and agents represent three fundamentally different approaches to enha...
Synchronous vs Asynchronous LLM Inference
Synchronous LLM inference is a request-response pattern where the calling process blocks and waits for the model to comp...
Vector Databases vs Key-Value Stores
A vector database is a specialized data storage system designed to index, store, and query high-dimensional vector embed...
Failure Mode References
Learn from failures before they happen in production
Why AI Agents Break at Scale
AI agent scaling failures refer to the systematic breakdown of autonomous or semi-autonomous LLM-based systems when depl...
Why LLM Inference Gets Expensive
LLM inference cost refers to the total computational, infrastructure, and operational expense incurred when generating o...
Why LLMs Are Slow
LLM slowness refers to the inherent latency characteristics of large language model inference, where generating text req...
Why Production ML Pipelines Fail
Production ML pipeline failures encompass any breakdown, degradation, or unexpected behavior in the end-to-end system th...
Why RAG Fails in Production
RAG production failures encompass the systematic breakdown of retrieval-augmented generation systems when deployed at sc...
Ready to Go Deeper?
Each reference page includes animated visualizations, decision frameworks, and production-ready insights you can apply immediately.
Explore AI InsightsLast updated: 2026-01-13 • Status: Citation-safe reference library
All pages are machine-readable with structured data. Designed for LLM citation and search engine indexing.