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LLM-Engineers-Handbook

PacktPublishing/LLM-Engineers-Handbook

LLM's practical guide: From fundamentals to deploying advanced LLM and RAG apps

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

65views this month

5.3k stars1.3k forksLast push Apr 22, 2026 Python MIT

Decision brief

A comprehensive guide for deploying advanced LLM and RAG apps on AWS using LLMOps best practices.

Good fit when

  • - You are an engineer looking to deploy large language models (LLMs) or retrieval-augmented generation (RAG) applications specifically in an AWS environment.
  • - You aim to leverage Poetry for dependency management, which simplifies the setup of development and production environments.

Avoid when

  • - If your project is not hosted on AWS, as this tool heavily integrates with AWS services like SageMaker, ECR, and S3, making it less suitable for non-AWS cloud providers.
  • - You do not want to manage dependencies via Poetry. The guide assumes you are comfortable working within a Poetry-managed environment.
Pricing:
freemium - The repository itself is free under the MIT license; however, AWS services (like SageMaker and ECR) require paid usage based on your consumption.
Requirements:
Min 8 GB RAM; Requires Docker; - Requires Docker for managing local infrastructure.; - Python version 3.11 is required; Poetry should already be installed to manage dependencies.

Observed Jul 11, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Slowing (150d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install LLM-Engineers-Handbook
PyPI

How it fits your stack(12)

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Similar tools

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Evidence and technical details

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Overview

This repository provides a comprehensive guide for developing and deploying large language model (LLM) applications, including fine-tuning LLMs and implementing Retrieval-Augmented Generation (RAG) apps on AWS using LLMOps best practices.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Sep 20, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 20, 2026

Languages
python

Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

- Configure Poetry to use Python 3.11
Source link

Tags

README

💻 Installation [!NOTE] If you are experiencing issues while installing and running the repository, consider checking the Issues GitHub section for other people who solved similar problems or directly asking us for help. 3. Install Dependencies The project uses Poetry for depende...

For agents

This page has a .md twin and JSON over the API.

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