Guided reading
Related notes arranged into deliberate paths. Pick a subject, begin with the first idea, and follow the sequence as the system comes together.
Ten articles for software engineers on how RAG systems work and fail. Follow worked examples through parsing, indexing, retrieval, context assembly, grounded answers, evaluation, and security.
Understand how prompts become tokens, how attention and KV cache work, and how serving engines scale inference.
Explore this pathLearn how agents use tools, how MCP connects systems, and how multi-agent workflows coordinate.
Explore this pathBuild local chat applications, RAG pipelines, reranking workflows, and natural-language data tools.
Explore this pathLearn DataFrame operations, SQL tuning, Spark optimization, and structured streaming.
Explore this path