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ai-engineering-playbook
MDX

ai-engineering-playbook

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.

by karthikreddy-7 · GitHub
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ai-agentsai-engineeringembeddingsMITMDX
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In plain words

Follow a comprehensive guide to learn how to build and implement AI systems effectively.

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2026-08-052026-08-31
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📄 About

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 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.

Frequently asked questions

What is ai-engineering-playbook?

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.

Is ai-engineering-playbook open source?

ai-engineering-playbook is an open-source project. It is released under the MIT license.

Is ai-engineering-playbook free?

Yes. ai-engineering-playbook is free and open source — you can use, modify and self-host it.

What license does ai-engineering-playbook use?

ai-engineering-playbook is available under the MIT license.

What language is ai-engineering-playbook written in?

ai-engineering-playbook is written mainly in MDX.

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