A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, built as a searchable site.
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ai-engineering-playbook has 58 stars on GitHub. It has been forked 15 times. ai-engineering-playbook is written mainly in MDX. It has been in active development since 2026. ai-engineering-playbook is available under the MIT license. Its main topics are ai-agents, ai-engineering, embeddings, learning-resources.
A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, built as a searchable site.
ai-engineering-playbook is an open-source project. It is released under the MIT license.
Yes. ai-engineering-playbook is free and open source — you can use, modify and self-host it.
ai-engineering-playbook is available under the MIT license.
ai-engineering-playbook is written mainly in MDX.
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