PacktPublishing/LLM-Engineers-Handbook

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

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Established

Implements a complete end-to-end LLM system using Domain-Driven Design principles, integrating ZenML for pipeline orchestration, Qdrant for vector search, and MongoDB for data management. Covers the full ML lifecycle from data collection and DPO-based model training to RAG implementation and inference via FastAPI, with CI/CD automation through GitHub Actions and deployment infrastructure for AWS.

4,823 stars.

No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

4,823

Forks

1,156

Language

Python

License

MIT

Last pushed

Mar 02, 2026

Commits (30d)

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