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Open technical library

Advanced AI engineering books

Free, crawlable, chapter-based books on agents, retrieval, RAG, ontologies, knowledge graphs, and production AI systems. Every chapter includes implementation detail, examples, exercises, and primary references.

Agent Systems

Agentic AI Systems

From goal-directed model calls to governed, evaluated software systems.

8 chapters · 4-6 hours

Agent Systems

Loop Engineering

Bounded state machines, safe effects, recovery, and replay for long-running AI work.

8 chapters · 5-7 hours

Agent Systems

Harness Engineering & Sandboxes

Reproducible environments, structured tools, isolation, traces, and evaluation hooks.

10 chapters · 5-7 hours

Retrieval Systems

Retrieval Engineering

Lexical, dense, approximate, hybrid, and reranked search with measurable evidence quality.

10 chapters · 4-6 hours

Retrieval Systems

Retrieval-Augmented Generation

Build grounded answer systems that preserve evidence from ingestion through citation.

10 chapters · 4-6 hours

Graph Systems

Ontology & Knowledge Graph Engineering

Model identity, meaning, provenance, validation, querying, and graph governance.

10 chapters · 5-8 hours

Retrieval Systems

Production RAG & GraphRAG

Multi-stage retrieval, graph construction, local and global search, evaluation, and operations.

10 chapters · 6-8 hours

Graph Systems

Knowledge-Driven Agent Architectures

Use ontologies and graph evidence to constrain plans without confusing knowledge with authority.

10 chapters · 6-8 hours