A reusable library for accessing Large Language Models (LLMs) and embedding models via LangChain4j. It provides framework-neutral chat-model providers, embedding creators, and a pluggable caching subsystem (local file, Redis, REST-Redis) for LLM requests and embeddings.
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Books (13)
How Large Language Models Work (2025) by Raff, Edward, Farris, Drew, Biderman, Stella LLMs in Production: From language models to successful products (2025) by Brousseau, Christopher, Sharp, Matt Designing Large Language Model Applications: A Holistic Approach to LLMs (2025) by Pai, Suhas AI Engineering: Building Applications with Foundation Models (2025) by Huyen, Chip Hands-On Large Language Models: Language Understanding and Generation (2024) by Alammar, Jay, Grootendorst, Maarten Build a Large Language Model (From Scratch) (2024) by Raschka, Sebastian Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications (2024) by Berryman, John, Ziegler, Albert Large Language Models: A Deep Dive: Bridging Theory and Practice (2024) by Kamath, Uday, Keenan, Kevin, Somers, Garrett, Sorenson, Sarah PRACTICAL LARGE LANGUAGE MODELS: An End-to-end Approach to LLMs (Advanced Systems Engineering Book 1) (2025) by Publishing, Heidelmann , Brenner , sophia Thinking Like A Large Language Model: Become an AI manager (Analyzing and Understanding AI) (2024) by SUNDARARAJAN, MUKUND Build a Large Language Model (From Scratch) (2024) by Sebastian Raschka, Julie Brierley, Manning Publications Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series) (2024) by Ozdemir, Sinan LLM Engineer's Handbook: Master the art of engineering large language models from concept to production (2024) by Paul Iusztin, Maxime Labonne
