Build an LLM Application (from Scratch). Hamza Farooq

Create your own LLM applications without using a framework like LlamaIndex or LangChain.

In Build an LLM Application (from Scratch), you'll learn to create applications powered by large language models (LLM) from the ground up. In this practical book, you'll build several fully functioning, real-world AI tools—including a search engine, semantic caching for RAG, and autonomous AI agents.

In Build an LLM Application (from Scratch), you'll learn how to:
 

• Design and implement efficient search algorithms for LLM applications
• Develop custom Retrieval Augmented Generation (RAG) systems
• Master deep customization techniques for every aspect of search and RAG components
• Understand and overcome the limitations of popular LLM frameworks
• Create end-to-end LLM solutions by integrating multiple components cohesively
• Apply advanced fine-tuning techniques for task-specific models and domain adaptation
• Deploy quantized versions of open-source LLMs using vLLMs and Ollama

Build an LLM Application (from Scratch) shows you just how customizable LLM applications can be when you create your own without using opinionated tools like LangChain and LlamaIndex. You'll learn the fundamentals of AI development hands-on, all without any proprietary tools. Soon you'll have the skills you need to build LLM applications, tailor them to your specific needs, and ensure you have control over your entire system.