Interactive learning

AI Deep Dives

Multi-page, interactive walkthroughs of the ideas behind modern AI systems โ€” built to be read in the browser, with animated diagrams and runnable code.

Retrieval-Augmented Generation (RAG)

From the core pipeline to chunking, embeddings, hybrid search, reranking, and the 2026 frontier โ€” agentic RAG, GraphRAG, and adaptive routing.

6 chapters Python ยท Claude Interactive

Agents & Tool Use

Planning loops, tool calling, memory, and multi-agent orchestration โ€” coming soon.

Planned

Tokens, Context & Cost

Tokenization, context windows, TPM/rate limits, caching, and latency โ€” coming soon.

Planned