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๐Ÿ“š Engineering Playbooks & References

Complete production engineering playbooks containing deep architectural diagrams, constraints handling, and personal engineering notes out of production deployments.

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Copyright & IP Notice The architecture, diagrams, and written content provided on this website and in the downloadable playbooks are the original intellectual property of Ambuj Kumar Tripathi. You may read, reference, and learn from these materials. However, reproducing, republishing, or claiming this architecture/content as your own workโ€”without explicit written permission and proper attributionโ€”is strictly prohibited.


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Engineering Portfolio Disclaimer I don't claim to be a professor, nor am I pretending to be an 'industry visionary'. These aren't theoretical tutorials or polished bootcamp projects. They are simply my raw, field-tested engineering notes provided "as is" from building production RAG systems under strict constraints (512MB RAM, $0 budget). Use these insights at your own discretion as I do not guarantee their suitability for every production environment.


Building Real AI Systems

60 Pages โ€ข Architecture Playbook

The complete production playbook covering architecture, failures, and fixes across the entire RAG pipeline from ingestion to tracing.

Building Real AI Systems Cover๐Ÿ“– Read 60-Page Playbook

Master RAG Engineering

11 Pages โ€ข Technical Reference

Personal engineering reference notes detailing document loaders, chunking strategies, embedding models comparison, and OOM prevention.

Master RAG Engineering Guide Cover๐Ÿ“˜ Read 11-Page Reference