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LLM Models and RAG Hands-on guide
| Date | Stars |
|---|---|
| 2026-07-31 | 307 |
| 2026-08-03 | 307 |
| 2026-08-06 | 307 |
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# LLM Models and RAG Hands-on Guide
Welcome to the LLM Models and RAG Hands-on Guide repository! This guide is designed for technical teams interested in developing basic conversational AI solutions using Retrieval-Augmented Generation (RAG).
## Introduction
This repository provides a comprehensive guide for building conversational AI systems using large language models (LLMs) and RAG techniques. The content combines theoretical knowledge with practical code implementations, making it suitable for those with a basic technical background.
## Table of Contents
This guide is primarily for technical teams engaged in developing a basic conversational AI with RAG solutions. It offers a basic introduction to the technical aspects.
This guide helps anyone with basic technical background to get involved in the AI domain.
This guide combines between the theoretical, basic knowledge and code implementation.
It's important to note that most of the content is compiled from various online resources, reflecting the extensive effort in
curating and organizing this information from numerous sources.
- [intro](https://github.com/zahaby/intro-llm-rag/blob/main/intro.md)
- [What is Conversational AI?](https://github.com/zahaby/intro-llm-rag/blob/main/intro.md#what-is-conversational-ai)
- [The Technology Behind Conversational AI](https://github.com/zahaby/intro-llm-rag/blob/main/intro.md#the-technology-behind-conversational-ai)
- [LLM Basics](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/llm-basics.md)
- [What is a large language model (LLM)? ](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/llm-basics.md#what-is-a-large-language-model-llm)
- [How do LLMs work? ](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/llm-basics.md#how-do-llms-work)
- [What are the Relations and Differences between LLMs and Transformers?](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/llm-basics.md#what-are-the-relations-and-differences-between-llms-and-transformers)
- [What are Pipelines in Transformers? ](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/llm-basics.md#what-are-pipelines-in-transformers)
- [What are Hugging Face Transformers?](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/llm-basics.md#what-are-pipelines-in-transformers)
- [Chains](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/chains.md)
- [What are chains?](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/chains.md#what-are-chains)
- [Foundational chain types in LangChain ](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/chains.md#foundational-chain-types-in-langchain)
- [LLMChain ](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/chains.md#llmchain)
- [Creating an LLMChain](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/chains.md#creating-an-llmchain)
- [Sequential Chains ](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/chains.md#equential-chains)
- [SimpleSequentialChain](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/chains.md#simplesequentialchain)
- [SequentialChain](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/chains.md#sequentialchain)
- [Transformation ](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/chains.md#transformation)
- [Prompt Engineering](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/prompt-engineering.md)
- [What is Prompt Engineering? ](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/prompt-engineering.md#what-is-prompt-engineering)
- [Prompt](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/prompt-engineering.md#prompt)
- [Types of Prompts ](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/prompt-engineering.md#types-of-prompts)
- [Instruction Prompting ](https://github.com/zahaby/intro-llm-rag/blob/main/main-aspects/prompt-engineering.Excerpt of 16,680 characters
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