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AI Inference EngineeringQuantization, batching and KV caching in production.System DesignScalable systems from first principles.Context EngineeringDesigning the context that LLMs actually reason over.Docker & KubernetesContainers and orchestration, explained.

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Context Engineering

Tokenization & Embeddings3

Attention & the Context Window4

Prompt & Context Construction4

Retrieval-Augmented Context5

What is RAG, and why does it exist?
Chunking strategies for retrieval
Vector search at scale, ANN, and how HNSW actually works
Reranking and hybrid search
Hands-on: building a complete mini-RAG pipeline in C++

Memory & Long Context4

Advanced Context Engineering7

Evaluation & Scoring6

Context Designing7

Lessons

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Context Engineering

Tokenization & Embeddings3

Attention & the Context Window4

Prompt & Context Construction4

Retrieval-Augmented Context5

What is RAG, and why does it exist?
Chunking strategies for retrieval
Vector search at scale, ANN, and how HNSW actually works
Reranking and hybrid search
Hands-on: building a complete mini-RAG pipeline in C++

Memory & Long Context4

Advanced Context Engineering7

Evaluation & Scoring6

Context Designing7

Learn Context Engineering Retrieval-Augmented Context

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Reranking and hybrid search

Why the first retrieval pass often isn't good enough on its own, how BM25 keyword search complements embeddings, and the math behind combining both with reciprocal rank fusion.

9 min readUpdated 2026-09-03context-engineeringragrerankingbm25